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Les éléments clés à retenir sont la durée de la vidéo (00:53:44s), le titre (Seed World: Seed breeding and production reinvented with aerial data acquisition and analytics) et l’auteur, ainsi que la description qui suit :« Oubliez le goulot d’étranglement du phénotypage et les tracas de la surveillance de la production de graines. Les innovations de matériel de drone et d’image permettent des mesures rapides et précises des traits, surtout si vous effectuez chaque année des expériences de champ multi-intrigues. L’industrialisation et la traçabilité de l’évaluation sur le terrain sont extrêmement rationalisées. L’intelligence aérienne apporte des capacités améliorées de connaissances et d’analyse de la réponse des plantes tout au long du cycle des cultures. Les solutions de drones aident la surveillance et les prévisions précises de la production de semences qui réduit la logistique et les risques commerciaux. Conférenciers webinaires: Benjamin Benharrosh, co-fondateur et VP Enterprise Sales Benjamin Benharrosh, est co-fondateur de Delair. Auparavant, à la tête des opérations nord-américaines, il a supervisé l’expansion de Delair sur le marché américain et canadien de la base de la société à Los Angeles, en Californie. Actuellement en tant que vice-président des ventes d’entreprises, Benjamin dirige le déploiement de Delair Aerial Intelligence Solutions pour l’agriculture à l’échelle mondiale. Alexis Janson a appliqué l’ingénieur produit pour l’agriculture et la foresterie Alexis Janson est un agronome, avec un diplôme de l’agropostech de l’école d’ingénierie agricole. Chez Delair, il est chargé de fournir une expertise technique aux équipes de vente et de marketing concernant l’offre de logiciels de produits de drones et d’analyse de données de Delair. Alexis a une solide expérience de produit dans l’agro-industrie de la production agricole aux machines agricoles. Il met son expertise dans la pratique pour faire passer l’agriculture à la numérisation. Pour en savoir plus sur Delair, visitez-les en ligne: www.delair.aero ».
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Vidéo Aérienne : La Production de Drone à son Meilleur
Élevez votre communication avec une vidéo aérienne !
Collaborer avec une entreprise de drones permet d’accéder à des images à couper le souffle et de valoriser une société. Un projet bien mené capte l’intérêt du public et soutient l’identité visuelle d’une marque. Un expert en communication est là pour vous accompagner dans votre démarche.
Offrir des vidéos spectaculaires et dynamiques, c’est la promesse du partenariat entre SupraDrone et E-Media Production. L’association de leurs compétences garantit un rendu visuel impressionnant. En savoir plus sur c e partenariat.
Étapes de production et de post-production
Les points importants d’un projet audiovisuel réalisé avec un drone
Pour chaque projet, il est essentiel de réaliser une analyse des besoins et de définir un concept précis. La planification et le repérage des lieux sont des étapes essentielles pour anticiper les contraintes techniques. La captation des images, effectuée par des experts, vise à garantir des plans de haute qualité. Le montage et la post-production sont essentiels à la phase finale pour un rendu optimal.
Concepts de montage et d’édition
Grâce à la correction des couleurs et à l’étalonnage, une esthétique visuelle cohérente est atteinte. L’impact esthétique des vidéos est rehaussé par des transitions fluides et des effets visuels. Pour une immersion et une émotion accrues, une bande sonore bien réalisée, avec musique et voix-off, est essentielle.
?Équipements et technologies en application
Les drones professionnels de choix
Les drones tels que le DJI Mavic 3, l’Inspire 3 ou les modèles FPV sont choisis en raison de leur efficacité et de leur capacité à s’adapter à divers types de tournages. Les drones sont sélectionnés en fonction des besoins spécifiques du projet, garantissant ainsi la meilleure qualité d’image.
Comprendre l’importance des outils complémentaires
Avec les caméras et capteurs professionnels, la netteté est toujours au rendez-vous. La qualité audio est améliorée grâce à l’utilisation de microphones spécialisés. Un montage précis et fluide est possible grâce à des logiciels avancés en post-production.
Quelles sont les motivations pour choisir une société de production de drones ?
? Les avantages de recourir aux drones en production audiovisuelle sont évidents
Les drones changent la donne dans la production vidéo en proposant des prises de vue aériennes impressionnantes, assurant ainsi un rendu cinématographique. Ils se distinguent par une flexibilité accrue, avec des options de captation en intérieur et en extérieur. À la différence des techniques classiques, ils proposent une solution abordable aux prises de vue par grue ou hélicoptère.
Un impact direct sur la qualité des photographies aériennes
Des images capturées en haute définition offrent un rendu de qualité professionnelle grâce aux capteurs 4K et 8K. En intégrant des angles variés et une fluidité dans les séquences, on peut créer des vidéos immersives pour le cinéma, la publicité et les films d’entreprise.
Quelles questions poser pour sélectionner une agence de production drone ?
Points cruciaux à analyser
L’expérience et le portfolio d’une agence jouent un rôle fondamental dans l’évaluation de la qualité des services. La conformité aux règles aériennes est la clé d’une sécurité optimale lors des prises de vue. Posséder une expertise technique et maîtriser les dernières technologies est un atout indéniable pour assurer un rendu professionnel.
Qu’est-ce qui rend la collaboration avec des experts certifiés si avantageuse ?
En toute conformité avec les normes, des vols sécurisés sont assurés par des télépilotes expérimentés. Un soutien adapté à chaque étape du projet répond précisément aux besoins du client et optimise le résultat final.
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Retranscription des paroles de la vidéo: hello everyone and welcome to today’s seed world innovation webinar series my name is Alex Martin and I serve as the associate editor for seed world and today I’m happy to be your host today’s theme is reinventing seed breeding and production with aerial data acquisition and analytics we’ll talk about aerial data how to measure multiply field experiments effectively and how to improve seed production monitoring and forecasting to lower logistics and market risks before we begin I’d like to thank Delayer for partnering with us on today’s webinar during the presentation you’ll likely have some questions for our speakers please type these into the chat box at any time during the webinar and we’ll address them during the Q&A sessions we’ll hold after the speakers finish their presentation also during the presentation we’ll have a few poll questions for you they’ll pop up in your chat box for you to answer today’s webinar is being recorded and will be made available at seed world.com following the proceedings today we’ll be hearing from Benjamin Ben our ocean Alexei Janssen Benjamin is a co-founder of Dallaire previously as head of north american operations he oversaw dual airs expansion into the US and Canadian market from the company’s base in Los Angeles currently as vice president of enterprise sales Benjamin is leading the deployment of delayers Ariel intelligent solutions for agricultural or agriculture globally Alexi is an agronomy is graduated from the agriculture into engineering school Agri Paris Tech at de l’air he is in charge of providing technical expertise to sales and marketing teams regarding delayers agricultural agriculture drone partic products and data analytics software Alexi has a strong product to experience an agribusiness from crop production to agricultural machinery he puts his expertise in practice to make agricultural agriculture moved to digitalization well and now I will like Benjamin and Alexei take it away from here hello everybody so you can see my face here but I’m gonna switch the camera off so like the connection is better it’s a pleasure for me to have the opportunity to talk to you about what drones and aerial imagery can can bring into the seed industry and especially what the rap technology can bring to you so just to start I would like to everybody to know that we will be present during the ISF works at Congress early June it’s in France this year in Nice in the South of France would be very happy to have the opportunity to meet with you and to tell you more about the technology and what what we could do for it so if you if you plan on going there please let us know so that we can schedule a meeting with you today a few words about the agenda I would like to talk to you about a few thing and we’ll start by telling you how I really me tree and drone technology can help you on the phenotyping bottleneck meaning that on the research side of things for the seed companies there is a bottleneck that we’ve identified in terms of phenotyping and we sing them drone Derek and I can help you out on this and the second topic that we will address today is about seed production when monitoring and we would like to end this webinar by talking to you about how to work with drones on a daily basis so before we start we’d like to launch a poll to know a bit more your activity whether you’re in research in production or anything else that would help us to better understand where are your interests and how we can help you out you can still continue to enter the poll but I’m gonna say a few words about the lair today so for those for those who don’t know it’s the lair as you can hear from my accent is a French company so we have a headquarter in France but we have a few offices all over the world we have offices in the US offices in Singapore in Beijing and in Belgium we are close to 200 people like 180 today we resettle in 70 count countries so today that makes us one of the largest purely commercial UAV company UAV is the name of the technical name for drones for those who don’t know so we are one of the largest that means that we can provide you the kind of level of quality that an enterprise level you could expect and we can provide you with a global support so that’s something that is very interesting especially when we work with an international company the fact that we can support their research activities in Latin America in North America in China in Africa or in Europe that’s something that is usually very well appreciated by our own planets another thing that I would like to stress on this slide is that we are not only people designing a drone technology but we also have like in our team some data scientists and data analysts and especially some agronomist that can help us like design solution to turn like aerial data and really into actionable insights for breeding and seed companies so this is a very important point because this expertise is absolutely necessary when you want to go from now image to real information that is actionable Baalak by the customer yeah on the next slide we would like to show you a bit of references this is to to tell you a bit more about the fact that we can work with large companies so we’ve been working with most of the largest like a seed companies where there is Syngenta Monsanto buyer now as well lima gran all those companies that have multiple sites all over the world we’ve been able to be validated by by those companies at an enterprise level and work with with those people on the same side we we are working with like a loft plantation an associate the one that you can see when we worked in Africa on Isla the tire company where we work on like monitoring the plantation in Indonesia so that’s just a few words to tell you that we can work with a small companies with large companies we can offer services and at an enterprise level and we can work all over the world so let me tell you a bit about what we’ve identified as being the phenotyping bottleneck so today the technology that are using for phenotyping so for for breeding historically is the human eye so you send someone in the field to observe the field and to write down some observation and and give it to the manager what we’ve identified today is that this technology is very slow sometimes costly and it’s very hard to hire the amount of people that is needed to do that so there has been some other technology that have been used in the past you can see some of those in this slide for example hand sensors so like having someone walk the field and and taking some pictures with a with a smartphone this is a pretty good when you want to have like they were very high accuracy but this is not something that you can do all over the crop and all over the plot or even the micro plots the other things is like onboard sensors on robots so the one that you can see on the bottom left of the slide is what we call the phenomenal that’s been designed by the Institute of agronomy in France it’s a very good very accurate researchers and scientists they they love it but this is very slow to deploy and very hard to operate and same thing when you want to deploy local sensors that’s free accurate but then you need to put those sensor all over the field so it creates like a high cost of maintenance and the same thing you cannot cover all the crop which is why we think that there is a place for drones because the drones they can increase the throughput of your phenotyping and they can increase the exhaustive et just a few numbers for you to know all those techniques that I’ve showed you before more or less you can cover 15 to 100 micro plot per hour with the drone you can cover up to 10,000 to 50,000 microprose per hour so this is really like a breakthrough innovation because that helps you unlock the bottleneck of how to do phenotyping on our research field and this is very important because then we can tell you you’re not limited anymore in your size of research by the by the capacity you have to the infinite typing with the drone technology you can unlock those limits and multiply by 10 by 100 the size of your research field so I’d like everybody to understand that because this is a kind of a revolution that is happening I’m not saying that the drone can do everything and we’ll see more in details you can do it cannot do but this is certainly a complementary tool that will help you have a better understanding of your of your research trial another poll before I get into more details we’d like to know if you have already used their drones in the past or how much you know about it because depending on on your answers we can know if you want me to get into more details or not like the the basics of where is the drum so I can see in the poll that I would say now I’m not sure everybody has answered it yet but half of you I’ve used the drones in the past and on the half of you that have used drones I would say a half of it multi-rotor and half of it is a fixed-wing so I will maybe just get into like the basics of drones very quickly don’t worry to help you better understand how it can be a phenotyping tool so drones you need to see it as a tool to create a digital twin of your crop this is really the point of it and that’s really how you you you need to think of this technology drones are here to acquire data are mostly imagery our field and then with software that we can provide or you can find on the market as well you can turn those imagery into a digital twin and what if we mean by digital twin is a 2d image geo-referenced of the crop and a 3d model of the crop in different bandwidths and then the idea of it is that once you’ve created your digital twin you can share it with other people within the company you can manipulate it you can annotate it you can analyze it and you can share the comments within the company and not only this but once you’ve done that for a year you archive the data you archived digital twin of your field and then you can compare from one year to another from one day to another from one month to another and make some comparison that will be absolutely true because it will not depend on the observation of someone of any human I so really think of the drone as a tool to create a digital twin that’s very important it’s not a toy it’s not only a sensor or camera it’s a tool to build a digital to another crop and and that’s the vision that we have in the company so on the left side you can see like the the deployment of different kind of sensors so it’s either human eye ground-based sensor IOT sensor drones or helicopters or drones is only a new kind of sensor those sensors then you turn it on the software into a digital twin of your crop and then once you analyze those data and once you extract some information you can integrate it into the software that you use on a daily basis so if you have a specific ERT if you use Excel to to manage the the data that you generate with with this tool you need to think of our technology as not as a standalone technology but a fully integrated technology so it will just feed your actual workflow and it will not be like an additional workflow to handle on your side so that’s all you can see on the screen here like an idea of what is a 3d model you can navigate in the 3d model manipulated annotate it observe it make some measurements whether you manipulate it manually automatically it doesn’t matter those things are all feasible on on the software so here we come with the drone so for those of you who don’t know what is a drone so it’s an autonomous flying sensor usually in most of the cases you see a quadcopter so it’s so like a helicopter with a propeller or six propeller or eight propellers this is the most common area because this is a kind of cheap easy to operate because it lands and takes off vertically but this is not a tool that you can use for participation and that you can use to cover like a large area so this is a drone but this is a fixed-wing drones so it’s used to cover larger areas typically up to 500 acres 200 acres you know those kinds of out sizes and what you need to know is that it’s fully autonomous so there is no remote control this is not a toy to be honest with you this is not fun to operate once you launch it you just wait you you act more like someone who do like traffic control then someone who would do plane piloting you know so this is a pretty boring it’s just a tool to collect data fully autonomous you can communicate with this tool using like an antenna or using 3G 4G communication and you have a tablet on which you will design like the flight plan so you draw an area on the tablet like you draw it on Google Earth and it’s you would send it to the drone it will actually automatically calculate the flight plan and then fly over the area and fly around the crops to capture the data so that was just a brief introduction for those who don’t know what is a drone and then after the drones you get imagery and those imagery you get like typically 10,000 images after flight after single flight you need to process those imagery to make one and only one digital twin of your crop and then you will in a second step you will analyze the this digital twin to extract valuable information so just a few words about this view x11 AG that we design internally we are the stage now in the drone industry where we’re like read in maturity so this is the third generation of drones so for those of you who have already used drones forget about the drones that crash every day forget a drone forget about the drones where you would need to be a very skilled pilot to operate it this is the third generation of drone this is fully autonomous it can break you like actionable information in real time you don’t need a soccer field or football field to operate it you can deploy it from a very small area and let’s sing the same sort adapted to the needs so it’s not like the first generation where it was designed by hobbyists just to have like a nice flying object now this is a tool that provides imagery in bandwidths that are really useful for a for you a few words about multispectral imagery for those who don’t know so this is here you can see on the on the bottom of the picture between the purple and the red this is all what you can see with the human eye okay and here you can see the curve of a healthy plants by how it reflects the light and bio stress plants by how it reflects the light so you can see that the stress plant and a healthy plant they don’t reflect the light the same way and we will see that very briefly I mean now and that will explain you why we have such a strong in the field on the drone so the first thing is that blue and red I absorbed by chlorophyll for total for photosynthesis which is why it doesn’t reflect any blue or any red so you need to know that the the light that you can see with your eyes is composed of red green and blue so this is why the leaves are green it’s because green is reflected by chlorophyll while blue and red absorbed by Crossfield so this is pretty easy to understand because this is all what you can see with your with your eyes today when you look at a tree or a plant this is usually pretty green and and and that reflects the amount of chlorophyll pigments that you have in the in depends the other thing is the near-infrared so near infrared is something that you cannot see with your eyes but that that gives you a very good idea of the biomass of the plants because the nearly fried bandwidth is reflected by leaves cells so everything that creates a biomass within the plant reflects very well-done infrared so those are the kind of thing that if you can collect data with neuron fried imagery you will be able to get some information pretty easily on the biomass and the last thing the one that is pretty unusual but we are one of the very few company to use this kind of sensor is to have the red edge band and the red edge band is more absorbed by chlorophyll when the concentration of chlorophyll increases in the plants so it gives you an idea of like the dynamics of the plant and add some very critical stages of the growth this is something that is super critical and we will see later in the webinar that the fact that you have it on a sensor on the drone will give you way more information that if you don’t have it so this is a quick overview to make you understand why observing how the light is reflected by my plant can give you an idea of of the pant and here to illustrate it if you have a plans try that means that you will have like a less chlorophyll production so less corrosion friction if you remember what I said earlier it means that the red light reflectance increases and you will be able to see it on specific indexes that will give you this idea of the red reflectance also at a later stage it will create less photosynthesis capacity so the red and blue reflectance increases and you will be able to see it with another index and at the end it will create less biomass production and if you remember well you will be able to see it by the decrease of the near-infrared reflectance so what it shows on this slide is that at every stage of the plant you will be able to detect the stress of the plant by using different indexes and different bandwidths so that’s a very important point to to understand because it shows you that you need to have a drawn imagery multiple times over your crop and during the time of the growth and at every point that will give you the agility to to adapt the way you manage your crop and to try to to balance any plant stress that you can observe on the field so it’s really a tool that will help you better understand your field and better manage it and then we will see a one by one all those trades but those are all the trades that you can extract using drawn imagery so you can extract the number of plants you can extract the height because if you remember when we have the 3d model of the of the plantation you can extract some color information you can extract characterize the emergence characterize the flowering find out the staggering capacity of the crop or even like detect some some weed within the within the crop but I will show you with a few examples how it looks like so now that we know the basis of this technology I’d like to get into more debt about how we can use drones for phenotyping so there are three different aspects of it first of it first of all as I said earlier you can create a digital twin secondly that will help you a very date your trial and lastly that will help you to calculate some traits and do some phenotyping a very often so the digital twin the here you can see sunflower or research plot with a few thousand micro plot so this has been covered by a drone imagery so when I will zoom in you will see that there is more resolution and outside of it this is what you can see with satellite imagery so typically Google Google Maps so when you zoom on the field you can see that you can easily identify the different world and even the different plants and this is an information that is very important so imagine that you can have like a sense image recall accuracy over your your plot here you can have this kind of information to identify the plot the rows one by one the micro plots and the plants so the first thing is that once you’ve covered it all and you’ve mapped it out you you I mean the other software that we offer you can link those information with the experimental design plan that you have so if you have like an experimental design plan so typically the one that you have in the format of an excel file showing what are like the intervals what are the the specific size of a micro plot how do you number it then that will help us to link the pixels with the information that you will give us as an input so for example if we click on a micro plot we have here on the right side the idea of the micro path so those are like the ideas the way you you name it so this is the example of a planet and this is exactly the reference number of what the client uses on this basis on these systems so namely on this ERP and then we will see that on all those micro plots you can calculate statistics once you’ve calculated like the different rates then once you’ve done the digital twin so you’ve set the basis you have like all your information about the the plot and the micro plots and about the idea of the micro plots then the first the second step will be to do a trial validation so the trial validation for some of the customers we’ve been working with can be based on two things so the first thing is like the number of plants if there is a number of plant that is too low they will discount the micro plots and not even consider it in just statistics so here what you can see that once you’ve mapped out your field and created a duty to a digital twin the software can automatically detect the gaps in the rows so those are all the white dots that you can see on the screen quantify those gaps and then calculate the number of plants this is very important to understand because this is fully autonomous process and you can turn aerial imagery drawn imagery into a number of plants by microbots so you don’t need any more to send like interns during the summer or like people in the field and make a bigger quality check on the way they they count the widow’s those plants this is something the stand count that can be done fully automatically from the drone flights to the the extraction of this information it’s a fully autonomous and seamless workflow and so for the public trial validation here you can see the the map where every micro plot has been colored depending on the number of plants that have been like calculated by the by our solution so the more it’s blue the more there are plants in the micro plots and the more thread the less populated it is and then the client we also on this specific example again it’s a sunflower research field the kind is decided to discover plots that are below 80 plants so for them it’s a very easy tool to decide to discount the way Tomatoes plots and then you create a shape file with all the discarded plots and you we will not based any statistics or any analysis on the seed that could be extracted from those discarded plots the second things that you can do on a field trial validation is when you can observe the field heterogeneity so what you can see here on the slide is exactly I mean typically what we call an NDVI in imagery that will give you an idea of the near-infrared reflectance and here what you can see on the bottom right of the of the field it does that there is a you know geographical area where the there is a less populated microbots so this is very typical of a field at alternative because this is something very draw graphical and this is not something that was part of the other design and the experimental plan of the of the company so again on the same trial they decided to discard this part of the researcher field based on those observations so for them it’s a big gain in terms of efficiency because they only focus on a what makes sense on the the right data and last thing on the research trial is a trait phenotyping so trait phenotyping is you can you can observe like and quantify information on the research plot so first very basic is a Ukraine scouting maps that will give you a general overview of the brain biomass the crab digger or the chlorophyll content and concentration on your field so this is like another view this is not something you could easily quantify but I’d give you another view and especially from what I just showed about trial validation this is the kind of overview that can be very very useful one of the trade that you can extract eg F cover so that’s like the the quantity of soil that is covered by my green again we’ve developed so this is still the RGB the visible imagery we’ve developed an algorithm here you can see on the on the screen that will automatically gather and create conglomerate’s of all the the green areas and then we will calculate the proportion by micro part of what is bare soil and what is the cover by grain and this will give you like an information about the F cover this is this ratio between those two two area and then you can build automatically maps of your research field where you will like decide the thresholds here and you would like illustrate and show it on your field based on the greenness the that you want so the more green it is the model F cover is high second thing that you can extract is the to characterize the emergence so for this we go one step beyond we will calculate plants by plants the the capacity to to cover the soil and so the area of green that that there is planned by plants and then make make an information micro plot by micro cuts this is an information that has been shown to be very useful for like a lot of seed companies to be able to characterize the emergence that’s a very important trait for the research field and this is something that is very to call that can happen in a in a very short period of time so the capacity of the drones if you remember well to cover our 50,000 micro plots in a single hour while classical’s solutions will cover 15 to 100 my macro plot is very useful because then in one hour you can characterize the emergence all over your field and you don’t have discrepancies between a pattern of your field that you would have cover on day one and Joseph odd that you would have covered on day two or three and then again you can create those mats and those statistics by micro blood another thing that you can characterize is the flowering so this is an example about canola today the algorithm that we’ve designed works mostly for like a yellow flower ization but this is something that we can characterize and again this is something that is very critical that can happen very you know in very short period of times so you need to be able to have a solution that is very reactive so the drones you can deploy it in five minutes and that can cover all fully I know in a single hour and the same thing once you detected it there’s an algorithm that can create like you know areas and aggregates of those of those flowering areas and we will calculate some statistics based on the area that is covered by by the flowers another thing that we can calculate is the staggering so that’s the that’s on corn when you can see on the on the screen and that’s the capacity to stay green after I mean at the end of like the season and that’s very important as well right then is usually pretty hard to observe because the plants are a very late stage of growth so it’s hard to to go into those fields inside to really observe it so the re always is a very good way to do so here you can see with the gbes for the visible image is what it can tell you so you can see here on the left it’s a bit more green and then yeah we would again create those maps where you can see my fulfilled my macro plot the greenness of it at the end of the season and that’s the kind of thing that we can deliver another thing that you can calculate if you remember well we can we have a 3d model of the micro plot so we can calculate the height of those plants it works on today mostly on the sunflower and canola you can calculate the height of those plants at all the stages in corn in very late stages it can be pretty challenging to calculate the height because you would need to be able to detect the bare soil but usually it’s been shown to be very efficient the capacity to calculate the height and way way more exhaustive than the kind of solution that you guys used today and then you create those maps every color gives you an idea of how populated is the macro plot and you can build whatever custom based analytics you want to build all of this and let me stay a few seconds on this slide this graph that you can see on the right side of the slide is important because it shows you that you can create dashboards for the management of your company so I I don’t know how much of you are like managing like a field a local field or is managing like multiple local fields but if you are a manager and you need to manage fields in Latin America and Africa and North America and Europe China usually the data that you get from those fields is not very homogeneous and here you have something that is like very absolute and you can create your own dashboards based on all the micro plots that would have been covered by the drones and every micro plot every plot would have been observed by the same technology and the same kind of accuracy and precision so that’s very very important to understand that this tool it makes you accelerate your digital transformation and it makes you able to create those those dashboards and to to give to the management a better understanding of what’s happening on the field so not only you can do that but you can also like estimate and assess the response to for example phone visit here this is an example on a potato crop well we can calculate like the the biomass by by micro plot and that will give us an idea on how it will respond to the fungicides so here you can see for example the one that is a pretty green it shows that there has been a good reaction to fungicide and it helps you better like do breathing on those kind of acids as well it can be used for people for like people that design feet or products or fungicides because that will give them like better ideas of how how it helped the plant to grow and the last one I would like to show you it is about with detection so here there is a the capacity as well 2 to 2 response to a weed killer so you can see on the left side of the screen in blue those are the areas and are populated with with and it it can give you like an ID on on how it it’s been able to response to this so to summarize this first part about phenotyping don’t worry the other parts are a bit shorter than that but this one on this one there was a lot of things about the basis of the technology but to conclude what those kind of solution can bring you to phenotyping it can help you to do more so multiply by 10 or 20 or capacity of doing phenotyping and then research it can help you to do faster so for the traits that requires a lot of reactivity that is very important because then you can have like almost an instant a newest map at at the same stage at the same time exactly of all your plot and it can give you a greater accuracy so here we are talking about pixels we’re not talking about the interpretation of a human eye on the field so the pixel there is a limited stuff you can say about it this is exactly what you observe and this is it this is like a photo this is something that you can oppose to put your foundation over unity so one of the question that we would like to ask you is a one of the what is the most important cost item for your field trial and the reason why we are asking that is to better understand how the drone can help you on this and and if this is something we can help you on or if this is not but again when I summarized like the benefits of the drones I didn’t talk yet about cost because we help you do more faster and with greater accuracy so we help you do better on your job but just to better understand what wet weather where are the big cost for you that could be an interesting information for us so when you compare drone versus manual counts that kind of summarize what I just said but it gives you like the capacity to do more and faster and gives you a better accuracy and it helps you see beyond the visible so I didn’t stress on that enough probably but today the human eye can only see something dancing that plants can express the way they reflect the light but our eye our human eye cannot interpret it so by using drones and those kind of new technology I will at least imagery and multi spectral energy you can go beyond the limitation of a human being and last thing I would like to share is that by creating those digital twins manipulating it sharing it with a company you are setting the basis of like leveraging artificial intelligence for your job and this is very important to to to understand because if you want to be ready for the revolution that will happen on artificial intelligence this is the way to go and this will prepare your data in a smart way in a very organized way that is good enough when the time is ready for efficient intelligence all the traits that have shown you they are not all based on artificial intelligence and to be honest with you we are we are at the very early stages of it so I’m not saying today that you can detect automatically wherever you want to see on the on the field but if you want to be ready for that when the technology is here you need to be prepared and you need to have those kind of solutions that that collect and organize this kind of data that’s yeah that’s an interesting example to show you the accuracy and when I told you about the limitation of a human being there is another limitation usually when you send people over the field that at least is like this in Europe to do count 10 count this is in the summer it’s very hot people are getting tired that at the end of the day and here this is a map that shows you the difference between the manual count and the drawn count so when when it’s like a dark green it’s exactly the same when it’s a light green it’s very similar and when it is red or orange this is very different and you can see on this area that is a very well identified area there are a lot of discrepancies and when we told that to the customer they’ve been double-checking the manual count by the people who counted it and they observed that they messed it out on this very specific area of the field so we don’t know if it was because it was the end of the of the day because the person that was in charge of it didn’t know very well how to do it but this is exactly the kind of error that you will not have anymore if you use imagery and run me through just a few words about how the technology can help you on the seed production monitoring as well so the idea is to extract information that will help you calculate or estimate the yield of your field so we’re not saying there that we can calculate the yield for you but we will give you a lot of information on the field that hopefully will help you better estimate your use that’s that’s the position that you we want to have we have just an enabler and we still need to have like your cactus in order to calculate do you so the the first thing is pretty basic is to assess the exact planted areas so sometimes you know it can diverge a bit from the theory and here by measuring the digital twin you have the exact with the centimetric all across in the exact planted area then with the software and drawn imagery you can qualify male and female plant so that you can only consider the the female one that will give you like a better idea of how you can assess the yield and then again we can estimate the number of plants in your seed production field so that will give you as well an idea of what could be the yield that you can expect and remember I don’t have to tell you that but if you have a better eat forecast you can better optimize your logistics and I have a better cost at the end of the day another thing that you can do with this kind of data is a to to see like the at origin 80 and the difference is that you cannot serve in your field and here by analyzing like the NDVI that gives you an idea of the crop digger you can divide your fields in two areas if you want and decide to do sampling in those two areas and then you since you consider that those area are autogenous enough you can then extrapolate the information that you would have observed on something on the on the field and and have a better ending for mation on those area so really the idea of zoning and sampling is a very smart way to use your own imagery another thing so this is a based on what we did with the customer so this is a grid of like they they’ve modified like the density of seeding the seeding rate so every square is a different seeding rate and we are observing with the drones the density of the population so that we can correlate the impact of the rate the seeding rate with the growth of the plants so this is something that will help you in the future to better use like the seeding rates because maybe sometimes you will observe that with a too high ceiling rate your your plant doesn’t grow very well so this is exactly the kind of thing that you can do with drone imagery because every Excel is your reference very precisely so you can compare everything yourself on the field with the grid that you have with the input that you have so that’s a that’s important to know because then you can optimize your your practices last thing I would like to mention is a to improve the and to optimize the Heaviside frame so the drawn imagery and the technology that we offer helps you to better locate like the areas with width and since you have better located in the areas with with you only apply product where there is a width so you use less product and the idea is that you have a environmental impact because you use less product we estimate that usually you can lower the amount of product that you put in your in your crop by 50% so it’s better from the off on your environment the idiot has an economic impact because obviously the practice is very expensive and there is a benefits of 20 euros hectare and we’re working now with all the manufacturers offer sprayers to have a seamless integration between drone observation and sprayers so that they can integrate the maps that have been like created by the drones into their prayers and do something either section by section or nozzle by nozzle and then to end this webinar a few slides about how to use the drone for photos who don’t know how to use the drawn there is a step one that usually takes less than five minutes to plan a flight so you draw an ariane on you have a tablet with kind of a google earth you draw the area and then you you push a button and it will automatically calculate the flight plan then you launch the drone so the drone can be mounted in less than five minutes you launch it with your hand it will automatically fly go along this path cover the the area take some imagery one thing that is important to know is that it can give you real-time imagery so that’s good because then you don’t leave the field unless you’re sure you’ve collected the right imagery plus you can make a ground check while the drone is flying so that important tip so if you observe something very strange in your crop since you’re already in the field you can you can go there I’ll serve it with your eyes and the drone will continue its flight and the way it’s been a program so that will last an hour depending on the area that you want to cover step 3 is that after the landing you upload the imagery on the cloud that we give you access to so it’s a very simple workflow it’s a drag-and-drop workflow between your hard drive and I mean the hard drive of the drawn and and the cloud based software and then you click on the button to to generate the business insight so if you want to do 10 cows if you wanna do the calculation of heights it can take a few hours or a few days depending on the exact traits that you wanna extract or some of them it will be instantaneous and you can have it like by clicking on a button so really there is a workflow for those who have already used runs like 10 years ago there is nothing to see even five years ago there has been a huge huge huge improvement between the first generation and the third generation so really the think of the drone as a as a tool that is a very easy to operate and maybe the last thing that I would like to share with you is when you when you decide to buy your drones so most of you know the quad copters the multi rotor because it’s very cheap to buy and it’s very easy to operate but remember that if you want to use it on the day I mean on a monthly basis or weekly basis and if you want to cover our large areas you will spend a lot of time and money on a personal cost so for sure the investment is lower but your personal costs are way way higher and here we we gave a few numbers of what it means for field trials from precision AG for plantation for field trial for example this is er around 17 year olds around $20 per hectare while if used a 15 this is the nine euros so not even $10 per hectare so really keep that in mind when you make your choice for sure the investment is a bit better but if you want to use it on a daily basis on a monthly basis if you want to use it as a tool that you will enter it into your workflow I strongly recommend you going to a fixed finger drum well that’s all the time we have for today thank you so much for participating in today’s seed world innovation webinar series and I hope you have found this information to be of value we will have a Q&A document available for download when this presentation goes live on seed WorldCom I’d also like to quickly thank our technical assistants Teresa and Kyle who’ve been working behind the scenes to make this a successful event thanks again and we hope you have a terrific day this is Alex Martin of seed world signing off .
Déroulement de la vidéo:
0.03 hello everyone and welcome to today&;s
0.03 seed world innovation webinar series my
0.03 name is Alex Martin and I serve as the
0.03 associate editor for seed world and
0.03 today I&;m happy to be your host
0.03 today&;s theme is reinventing seed
0.03 breeding and production with aerial data
0.03 acquisition and analytics
0.03 we&;ll talk about aerial data how to
0.03 measure multiply field experiments
0.03 effectively and how to improve seed
0.03 production monitoring and forecasting to
0.03 lower logistics and market risks before
0.03 we begin I&;d like to thank Delayer for
0.03 partnering with us on today&;s webinar
0.03 during the presentation you&;ll likely
0.03 have some questions for our speakers
0.03 please type these into the chat box at
0.03 any time during the webinar and we&;ll
0.03 address them during the Q&A sessions
0.03 we&;ll hold after the speakers finish
0.03 their presentation also during the
0.03 presentation we&;ll have a few poll
0.03 questions for you they&;ll pop up in your
0.03 chat box for you to answer today&;s
0.03 webinar is being recorded and will be
0.03 made available at seed world.com
0.03 following the proceedings today we&;ll be
0.03 hearing from Benjamin Ben our ocean
0.03 Alexei Janssen Benjamin is a co-founder
0.03 of Dallaire previously as head of north
0.03 american operations he oversaw dual airs
0.03 expansion into the US and Canadian
0.03 market from the company&;s base in Los
0.03 Angeles currently as vice president of
0.03 enterprise sales Benjamin is leading the
0.03 deployment of delayers
0.03 Ariel intelligent solutions for
0.03 agricultural or agriculture globally
0.03 Alexi is an agronomy is graduated from
0.03 the agriculture into engineering school
0.03 Agri Paris Tech at de l&;air he is in
0.03 charge of providing technical expertise
0.03 to sales and marketing teams regarding
0.03 delayers
0.03 agricultural agriculture drone partic
0.03 products and data analytics software
0.03 Alexi has a strong product to experience
0.03 an agribusiness from crop production to
0.03 agricultural machinery he puts his
0.03 expertise in practice to make
0.03 agricultural
0.03 agriculture moved to digitalization well
0.03 and now I will like Benjamin and Alexei
0.03 take it away from here
0.03 hello everybody so you can see my face
0.03 here but I&;m gonna switch the camera off
0.03 so like the connection is better it&;s a
0.03 pleasure for me to have the opportunity
0.03 to talk to you about what drones and
0.03 aerial imagery can can bring into the
0.03 seed industry and especially what the
0.03 rap technology can bring to you so just
0.03 to start I would like to everybody to
0.03 know that we will be present during the
0.03 ISF works at Congress early June it&;s in
0.03 France this year in Nice in the South of
0.03 France would be very happy to have the
0.03 opportunity to meet with you and to tell
0.03 you more about the technology and what
0.03 what we could do for it so if you if you
0.03 plan on going there please let us know
0.03 so that we can schedule a meeting with
0.03 you today a few words about the agenda I
0.03 would like to talk to you about a few
0.03 thing and we&;ll start by telling you how
0.03 I really me tree and drone technology
0.03 can help you on the phenotyping
0.03 bottleneck meaning that on the research
0.03 side of things for the seed companies
0.03 there is a bottleneck that we&;ve
0.03 identified in terms of phenotyping and
0.03 we sing them drone Derek and I can help
0.03 you out on this and the second topic
0.03 that we will address today is about seed
0.03 production when monitoring and we would
0.03 like to end this webinar by talking to
0.03 you about how to work with drones on a
0.03 daily basis so before we start
0.03 we&;d like to launch a poll to know a bit
0.03 more
0.03 your activity whether you&;re in research
0.03 in production or anything else that
0.03 would help us to better understand where
0.03 are your interests and how we can help
0.03 you out you can still continue to enter
0.03 the poll but I&;m gonna say a few words
0.03 about the lair today so for those for
0.03 those who don&;t know it&;s the lair as
0.03 you can hear from my accent is a French
0.03 company so we have a headquarter in
0.03 France but we have a few offices all
0.03 over the world we have offices in the US
0.03 offices in Singapore in Beijing and in
0.03 Belgium we are close to 200 people like
0.03 180 today we resettle in 70 count
0.03 countries so today that makes us one of
0.03 the largest purely commercial UAV
0.03 company UAV is the name of the technical
0.03 name for drones for those who don&;t know
0.03 so we are one of the largest that means
0.03 that we can provide you the kind of
0.03 level of quality that an enterprise
0.03 level you could expect and we can
0.03 provide you with a global support so
0.03 that&;s something that is very
0.03 interesting especially when we work with
0.03 an international company the fact that
0.03 we can support their research activities
0.03 in Latin America in North America in
0.03 China in Africa or in Europe that&;s
0.03 something that is usually very well
0.03 appreciated by our own planets another
0.03 thing that I would like to stress on
0.03 this slide is that we are not only
0.03 people designing a drone technology but
0.03 we also have like in our team some data
0.03 scientists and data analysts and
0.03 especially some agronomist that can help
0.03 us like design solution to turn like
0.03 aerial data and really into actionable
0.03 insights for breeding and seed companies
0.03 so this is a very important point
0.03 because this expertise is absolutely
0.03 necessary when you want to go from now
0.03 image to real information that is
0.03 actionable Baalak by the customer yeah
0.03 on the next slide we would like to show
0.03 you a bit of references this is to to
0.03 tell you a bit more about the fact that
0.03 we can work with large companies so
0.03 we&;ve been working with most of the
0.03 largest like a seed companies where
0.03 there is Syngenta Monsanto buyer now as
0.03 well lima gran all those companies that
0.03 have multiple sites all over the world
0.03 we&;ve been able to be validated by by
0.03 those companies at an enterprise level
0.03 and work with with those people on the
0.03 same side we we are working with like a
0.03 loft plantation an associate the one
0.03 that you can see when we worked in
0.03 Africa on Isla the tire company where we
0.03 work on like monitoring the plantation
0.03 in Indonesia so that&;s just a few words
0.03 to tell you that we can work with a
0.03 small companies with large companies we
0.03 can offer services and at an enterprise
0.03 level and we can work all over the world
0.03 so let me tell you a bit about what
0.03 we&;ve identified as being the
0.03 phenotyping bottleneck so today the
0.03 technology that are using for
0.03 phenotyping so for for breeding
0.03 historically is the human eye so you
0.03 send someone in the field to observe the
0.03 field and to write down some observation
0.03 and and give it to the manager what
0.03 we&;ve identified today is that this
0.03 technology is very slow sometimes costly
0.03 and it&;s very hard to hire the amount of
0.03 people that is needed to do that so
0.03 there has been some other technology
0.03 that have been used in the past you can
0.03 see some of those in this slide for
0.03 example hand sensors so like having
0.03 someone walk
0.03 the field and and taking some pictures
0.03 with a with a smartphone this is a
0.03 pretty good when you want to have like
0.03 they were very high accuracy but this is
0.03 not something that you can do all over
0.03 the crop and all over the plot or even
0.03 the micro plots the other things is like
0.03 onboard sensors on robots so the one
0.03 that you can see on the bottom left of
0.03 the slide is what we call the phenomenal
0.03 that&;s been designed by the Institute of
0.03 agronomy in France it&;s a very good very
0.03 accurate researchers and scientists they
0.03 they love it but this is very slow to
0.03 deploy and very hard to operate and same
0.03 thing when you want to deploy local
0.03 sensors that&;s free accurate but then
0.03 you need to put those sensor all over
0.03 the field so it creates like a high cost
0.03 of maintenance and the same thing you
0.03 cannot cover all the crop which is why
0.03 we think that there is a place for
0.03 drones because the drones they can
0.03 increase the throughput of your
0.03 phenotyping and they can increase the
0.03 exhaustive et just a few numbers for you
0.03 to know all those techniques that I&;ve
0.03 showed you before more or less you can
0.03 cover 15 to 100 micro plot per hour
0.03 with the drone you can cover up to
0.03 10,000 to 50,000 microprose per hour so
0.03 this is really like a breakthrough
0.03 innovation because that helps you unlock
0.03 the bottleneck of
0.03 how to do phenotyping on our research
0.03 field and this is very important because
0.03 then we can tell you you&;re not limited
0.03 anymore in your size of research by the
0.03 by the capacity you have to the infinite
0.03 typing with the drone technology you can
0.03 unlock those limits and multiply by 10
0.03 by 100 the size of your research field
0.03 so I&;d like everybody to understand that
0.03 because this is a kind of a revolution
0.03 that is happening I&;m not saying that
0.03 the drone can do everything and we&;ll
0.03 see more in details
0.03 you can do it cannot do but this is
0.03 certainly a complementary tool that will
0.03 help you have a better understanding of
0.03 your of your research trial another poll
0.03 before I get into more details we&;d like
0.03 to know if you have already used their
0.03 drones in the past or how much you know
0.03 about it because depending on on your
0.03 answers we can know if you want me to
0.03 get into more details or not like the
0.03 the basics of where is the drum so I can
0.03 see in the poll that I would say now I&;m
0.03 not sure everybody has answered it yet
0.03 but half of you I&;ve used the drones in
0.03 the past and on the half of you that
0.03 have used drones I would say a half of
0.03 it multi-rotor and half of it is a
0.03 fixed-wing so I will maybe just get into
0.03 like the basics of drones very quickly
0.03 don&;t worry to help you better
0.03 understand how it can be a phenotyping
0.03 tool so drones you need to see it as a
0.03 tool to create a digital twin of your
0.03 crop this is really the point of it and
0.03 that&;s really how you you you need to
0.03 think of this technology drones are here
0.03 to acquire data are mostly imagery our
0.03 field and then with software that we can
0.03 provide or you can find on the market as
0.03 well you can turn those imagery into a
0.03 digital twin and what if we mean by
0.03 digital twin is a 2d image
0.03 geo-referenced of the crop and a 3d
0.03 model of the crop in different
0.03 bandwidths and then the idea of it is
0.03 that once you&;ve created your digital
0.03 twin you can share it with other people
0.03 within the company you can manipulate it
0.03 you can annotate it you can analyze it
0.03 and you can share the comments within
0.03 the company and not only this but once
0.03 you&;ve done that for a year you archive
0.03 the data you archived
0.03 digital twin of your field and then you
0.03 can compare from one year to another
0.03 from one day to another from one month
0.03 to another and make some comparison that
0.03 will be absolutely true because it will
0.03 not depend on the observation of someone
0.03 of any human I so really think of the
0.03 drone as a tool to create a digital twin
0.03 that&;s very important it&;s not a toy
0.03 it&;s not only a sensor or camera it&;s a
0.03 tool to build a digital to another crop
0.03 and and that&;s the vision that we have
0.03 in the company so on the left side you
0.03 can see like the the deployment of
0.03 different kind of sensors so it&;s either
0.03 human eye ground-based sensor IOT sensor
0.03 drones or helicopters or drones is only
0.03 a new kind of sensor those sensors then
0.03 you turn it on the software into a
0.03 digital twin of your crop and then once
0.03 you analyze those data and once you
0.03 extract some information you can
0.03 integrate it into the software that you
0.03 use on a daily basis so if you have a
0.03 specific ERT
0.03 if you use Excel to to manage the the
0.03 data that you generate with with this
0.03 tool you need to think of our technology
0.03 as not as a standalone
0.03 technology but a fully integrated
0.03 technology so it will just feed your
0.03 actual workflow and it will not be like
0.03 an additional workflow to handle on your
0.03 side so that&;s all you can see on the
0.03 screen here like an idea of what is a 3d
0.03 model you can navigate in the 3d model
0.03 manipulated annotate it observe it make
0.03 some measurements
0.03 whether you manipulate it manually
0.03 automatically it doesn&;t matter those
0.03 things are all feasible on on the
0.03 software so here we come with the drone
0.03 so for those of you who don&;t know what
0.03 is a drone so it&;s an autonomous flying
0.03 sensor
0.03 usually in most of the cases you see a
0.03 quadcopter so it&;s so like a helicopter
0.03 with a propeller or six propeller or
0.03 eight propellers this is the most common
0.03 area because this is a kind of cheap
0.03 easy to operate because it lands and
0.03 takes off vertically but this is not a
0.03 tool that you can use for participation
0.03 and that you can use to cover like a
0.03 large area so this is a drone but this
0.03 is a fixed-wing drones so it&;s used to
0.03 cover larger areas typically up to 500
0.03 acres 200 acres you know those kinds of
0.03 out sizes and what you need to know is
0.03 that it&;s fully autonomous so there is
0.03 no remote control this is not a toy to
0.03 be honest with you this is not fun to
0.03 operate once you launch it you just wait
0.03 you you act more like someone who do
0.03 like traffic control then someone who
0.03 would do plane piloting you know so this
0.03 is a pretty boring it&;s just a tool to
0.03 collect data fully autonomous you can
0.03 communicate with this tool using like an
0.03 antenna or using 3G 4G communication and
0.03 you have a tablet on which you will
0.03 design like the flight plan so you draw
0.03 an area on the tablet like you draw it
0.03 on Google Earth and it&;s you would send
0.03 it to the drone it will actually
0.03 automatically calculate the flight plan
0.03 and then fly over the area and fly
0.03 around the crops to capture the data so
0.03 that was just a brief introduction for
0.03 those who don&;t know what is a drone and
0.03 then after the drones you get imagery
0.03 and those imagery you get like typically
0.03 10,000 images after flight after single
0.03 flight you need to process those imagery
0.03 to make one and only one digital twin of
0.03 your crop and then you will in a second
0.03 step you will analyze the this digital
0.03 twin to extract valuable information so
0.03 just a few words about this view x11 AG
0.03 that we design internally we are the
0.03 stage now in the drone industry where
0.03 we&;re like read
0.03 in maturity so this is the third
0.03 generation of drones so for those of you
0.03 who have already used drones forget
0.03 about the drones that crash every day
0.03 forget a drone
0.03 forget about the drones where you would
0.03 need to be a very skilled pilot to
0.03 operate it this is the third generation
0.03 of drone this is fully autonomous it can
0.03 break you like actionable information in
0.03 real time you don&;t need a soccer field
0.03 or football field to operate it you can
0.03 deploy it from a very small area and
0.03 let&;s sing the same sort adapted to the
0.03 needs so it&;s not like the first
0.03 generation where it was designed by
0.03 hobbyists just to have like a nice
0.03 flying object now this is a tool that
0.03 provides imagery in bandwidths that are
0.03 really useful for a for you a few words
0.03 about multispectral imagery for those
0.03 who don&;t know so this is here you can
0.03 see on the on the bottom of the picture
0.03 between the purple and the red this is
0.03 all what you can see with the human eye
0.03 okay and here you can see the curve of a
0.03 healthy plants by how it reflects the
0.03 light and bio stress plants by how it
0.03 reflects the light so you can see that
0.03 the stress plant and a healthy plant
0.03 they don&;t reflect the light the same
0.03 way and we will see that very briefly I
0.03 mean now and that will explain you why
0.03 we have such a strong in the field on
0.03 the drone so the first thing is that
0.03 blue and red I absorbed
0.03 by chlorophyll for total for
0.03 photosynthesis which is why it doesn&;t
0.03 reflect any blue or any red so you need
0.03 to know that the the light that you can
0.03 see with your eyes is composed of red
0.03 green and blue so this is why the leaves
0.03 are green it&;s because green is
0.03 reflected by chlorophyll while blue and
0.03 red absorbed by Crossfield
0.03 so this is pretty easy to understand
0.03 because this is all what you can see
0.03 with your with your eyes today when you
0.03 look at a tree or a plant this is
0.03 usually pretty green and and and that
0.03 reflects the amount of chlorophyll
0.03 pigments that you have in the in depends
0.03 the other thing is the near-infrared so
0.03 near infrared is something that you
0.03 cannot see with your eyes but that that
0.03 gives you a very good idea of the
0.03 biomass of the plants because the nearly
0.03 fried bandwidth is reflected by leaves
0.03 cells so everything that creates a
0.03 biomass within the plant reflects very
0.03 well-done infrared so those are the kind
0.03 of thing that if you can collect data
0.03 with neuron fried imagery you will be
0.03 able to get some information pretty
0.03 easily on the biomass and the last thing
0.03 the one that is pretty unusual but we
0.03 are one of the very few company to use
0.03 this kind of sensor is to have the red
0.03 edge band and the red edge band is more
0.03 absorbed by chlorophyll when the
0.03 concentration of chlorophyll increases
0.03 in the plants so it gives you an idea of
0.03 like the dynamics of the plant and add
0.03 some very critical stages of the growth
0.03 this is something that is super critical
0.03 and we will see later in the webinar
0.03 that the fact that you have it on a
0.03 sensor on the drone will give you way
0.03 more information that if you don&;t have
0.03 it so this is a quick overview to make
0.03 you understand why observing how the
0.03 light is reflected by my plant can give
0.03 you an idea of of the pant and here to
0.03 illustrate it if you have a plans try
0.03 that means that you will have like a
0.03 less chlorophyll production so less
0.03 corrosion friction if you remember what
0.03 I said earlier it means that the red
0.03 light reflectance increases and you will
0.03 be able to see it on specific indexes
0.03 that will give you this idea of the red
0.03 reflectance also at a later stage it
0.03 will create less photosynthesis capacity
0.03 so the red and blue reflectance
0.03 increases and you will be able to see it
0.03 with another index and at the end it
0.03 will create less biomass production and
0.03 if you remember well you will be able to
0.03 see it by the decrease of the
0.03 near-infrared reflectance so what it
0.03 shows on this slide is that at every
0.03 stage of the plant you will be able to
0.03 detect the stress of the plant by using
0.03 different indexes and different
0.03 bandwidths so that&;s a very important
0.03 point to to understand because it shows
0.03 you that you need to have a drawn
0.03 imagery multiple times over your crop
0.03 and during the time of the growth and at
0.03 every point that will give you the
0.03 agility to to adapt the way you manage
0.03 your crop and to try to to balance any
0.03 plant stress that you can observe on the
0.03 field so it&;s really a tool that will
0.03 help you better understand your field
0.03 and better manage it and then we will
0.03 see a one by one all those trades but
0.03 those are all the trades that you can
0.03 extract using drawn imagery so you can
0.03 extract the number of plants you can
0.03 extract the height because if you
0.03 remember when we have the 3d model of
0.03 the of the plantation you can extract
0.03 some color information you can extract
0.03 characterize the emergence characterize
0.03 the flowering find out the staggering
0.03 capacity of the crop or even like detect
0.03 some some weed within the within the
0.03 crop but I will show you with a few
0.03 examples how it looks like so now that
0.03 we know the basis of this technology I&;d
0.03 like to get into more debt
0.03 about how we can use drones for
0.03 phenotyping so there are three different
0.03 aspects of it first of it first of all
0.03 as I said earlier you can create a
0.03 digital twin secondly that will help you
0.03 a very date your trial and lastly that
0.03 will help you to calculate some traits
0.03 and do some phenotyping a very often so
0.03 the digital twin the here you can see
0.03 sunflower or research plot with a few
0.03 thousand micro plot so this has been
0.03 covered by a drone imagery so when I
0.03 will zoom in you will see that there is
0.03 more resolution and outside of it this
0.03 is what you can see with satellite
0.03 imagery
0.03 so typically Google Google Maps so when
0.03 you zoom on the field you can see that
0.03 you can easily identify the different
0.03 world and even the different plants and
0.03 this is an information that is very
0.03 important so imagine that you can have
0.03 like a sense image recall accuracy over
0.03 your your plot here you can have this
0.03 kind of information to identify the plot
0.03 the rows one by one the micro plots and
0.03 the plants so the first thing is that
0.03 once you&;ve covered it all and you&;ve
0.03 mapped it out you you I mean the other
0.03 software that we offer you can link
0.03 those information with the experimental
0.03 design plan that you have so if you have
0.03 like an experimental design plan so
0.03 typically the one that you have in the
0.03 format of an excel file showing what are
0.03 like the intervals what are the the
0.03 specific size of a micro plot how do you
0.03 number it then that will help us to link
0.03 the pixels with the information that you
0.03 will give us as an input so for example
0.03 if we click on a micro plot we have here
0.03 on the right side the idea of the micro
0.03 path so those are like the ideas the way
0.03 you you name it so this is the example
0.03 of a planet and this is exactly the
0.03 reference number
0.03 of what the client uses on this basis on
0.03 these systems so namely on this ERP and
0.03 then we will see that on all those micro
0.03 plots you can calculate statistics once
0.03 you&;ve calculated like the different
0.03 rates then once you&;ve done the digital
0.03 twin so you&;ve set the basis you have
0.03 like all your information about the the
0.03 plot and the micro plots and about the
0.03 idea of the micro plots then the first
0.03 the second step will be to do a trial
0.03 validation so the trial validation for
0.03 some of the customers we&;ve been working
0.03 with can be based on two things so the
0.03 first thing is like the number of plants
0.03 if there is a number of plant that is
0.03 too low they will discount the micro
0.03 plots and not even consider it in just
0.03 statistics so here what you can see that
0.03 once you&;ve mapped out your field and
0.03 created a duty to a digital twin the
0.03 software can automatically detect the
0.03 gaps in the rows so those are all the
0.03 white dots that you can see on the
0.03 screen quantify those gaps and then
0.03 calculate the number of plants this is
0.03 very important to understand because
0.03 this is fully autonomous process and you
0.03 can turn aerial imagery drawn imagery
0.03 into a number of plants by microbots so
0.03 you don&;t need any more to send like
0.03 interns during the summer or like people
0.03 in the field and make a bigger quality
0.03 check on the way they they count the
0.03 widow&;s those plants this is something
0.03 the stand count that can be done fully
0.03 automatically from the drone flights to
0.03 the the extraction of this information
0.03 it&;s a fully autonomous and seamless
0.03 workflow and so for the public trial
0.03 validation here you can see the the map
0.03 where every micro plot has been colored
0.03 depending on the number of plants that
0.03 have been like
0.03 calculated by the by our solution so the
0.03 more it&;s blue the more there are plants
0.03 in the micro plots and the more thread
0.03 the less populated it is and then the
0.03 client we also on this specific example
0.03 again it&;s a sunflower research field
0.03 the kind is decided to discover plots
0.03 that are below 80 plants so for them
0.03 it&;s a very easy tool to decide to
0.03 discount the way Tomatoes plots and then
0.03 you create a shape file with all the
0.03 discarded plots and you we will not
0.03 based any statistics or any analysis on
0.03 the seed that could be extracted from
0.03 those discarded plots the second things
0.03 that you can do on a field trial
0.03 validation is when you can observe the
0.03 field heterogeneity so what you can see
0.03 here on the slide is exactly I mean
0.03 typically what we call an NDVI in
0.03 imagery that will give you an idea of
0.03 the near-infrared reflectance and here
0.03 what you can see on the bottom right of
0.03 the of the field it does that there is a
0.03 you know geographical area where the
0.03 there is a less populated microbots so
0.03 this is very typical of a field at
0.03 alternative because this is something
0.03 very draw graphical and this is not
0.03 something that was part of the other
0.03 design and the experimental plan of the
0.03 of the company so again on the same
0.03 trial they decided to discard this part
0.03 of the researcher field based on those
0.03 observations so for them it&;s a big gain
0.03 in terms of efficiency because they only
0.03 focus on a what makes sense on the the
0.03 right data and last thing on the
0.03 research trial is a trait phenotyping so
0.03 trait phenotyping is you can you can
0.03 observe like and quantify information on
0.03 the research plot
0.03 so first
0.03 very basic is a Ukraine scouting maps
0.03 that will give you a general overview of
0.03 the brain biomass the crab digger or the
0.03 chlorophyll content and concentration on
0.03 your field so this is like another view
0.03 this is not something you could easily
0.03 quantify but I&;d give you another view
0.03 and especially from what I just showed
0.03 about trial validation this is the kind
0.03 of overview that can be very very useful
0.03 one of the trade that you can extract eg
0.03 F cover so that&;s like the the quantity
0.03 of soil that is covered by my green
0.03 again we&;ve developed so this is still
0.03 the RGB the visible imagery we&;ve
0.03 developed an algorithm here you can see
0.03 on the on the screen that will
0.03 automatically gather and create
0.03 conglomerate&;s of all the the green
0.03 areas and then we will calculate the
0.03 proportion by micro part of what is bare
0.03 soil and what is the cover by grain and
0.03 this will give you like an information
0.03 about the F cover this is this ratio
0.03 between those two two area and then you
0.03 can build automatically maps of your
0.03 research field where you will like
0.03 decide the thresholds here and you would
0.03 like illustrate and show it on your
0.03 field based on the greenness the that
0.03 you want so the more green it is the
0.03 model F cover is high second thing that
0.03 you can extract is the to characterize
0.03 the emergence so for this we go one step
0.03 beyond we will calculate plants by
0.03 plants the the capacity to to cover the
0.03 soil and so the area of green that that
0.03 there is planned by plants and then make
0.03 make an information micro plot by micro
0.03 cuts this is an information that has
0.03 been shown to be very useful for like a
0.03 lot of seed companies to be able to
0.03 characterize the emergence that&;s a very
0.03 important trait for the research field
0.03 and this is something that is very
0.03 to call that can happen in a in a very
0.03 short period of time so the capacity of
0.03 the drones if you remember well to cover
0.03 our 50,000 micro plots in a single hour
0.03 while classical&;s solutions will cover
0.03 15 to 100 my macro plot is very useful
0.03 because then in one hour you can
0.03 characterize the emergence all over your
0.03 field and you don&;t have discrepancies
0.03 between a pattern of your field that you
0.03 would have cover on day one and Joseph
0.03 odd that you would have covered on day
0.03 two or three and then again you can
0.03 create those mats and those statistics
0.03 by micro blood another thing that you
0.03 can characterize is the flowering so
0.03 this is an example about canola today
0.03 the algorithm that we&;ve designed works
0.03 mostly for like a yellow flower ization
0.03 but this is something that we can
0.03 characterize and again this is something
0.03 that is very critical that can happen
0.03 very you know in very short period of
0.03 times so you need to be able to have a
0.03 solution that is very reactive so the
0.03 drones you can deploy it in five minutes
0.03 and that can cover all fully I know in a
0.03 single hour and the same thing once you
0.03 detected it there&;s an algorithm that
0.03 can create like you know areas and
0.03 aggregates of those of those flowering
0.03 areas and we will calculate some
0.03 statistics based on the area that is
0.03 covered by by the flowers another thing
0.03 that we can calculate is the staggering
0.03 so that&;s the that&;s on corn when you
0.03 can see on the on the screen and that&;s
0.03 the capacity to stay green after I mean
0.03 at the end of like the season and that&;s
0.03 very important as well right then is
0.03 usually pretty hard to observe because
0.03 the plants are a very late stage of
0.03 growth so it&;s hard to to go into those
0.03 fields inside to really observe it so
0.03 the re always is a very good way to do
0.03 so here you can see with the
0.03 gbes for the visible image is what it
0.03 can tell you so you can see here on the
0.03 left it&;s a bit more green and then yeah
0.03 we would again create those maps where
0.03 you can see my fulfilled my macro plot
0.03 the greenness of it at the end of the
0.03 season and that&;s the kind of thing that
0.03 we can deliver another thing that you
0.03 can calculate if you remember well we
0.03 can we have a 3d model of the micro plot
0.03 so we can calculate the height of those
0.03 plants
0.03 it works on today mostly on the
0.03 sunflower and canola you can calculate
0.03 the height of those plants at all the
0.03 stages in corn in very late stages it
0.03 can be pretty challenging to calculate
0.03 the height because you would need to be
0.03 able to detect the bare soil but usually
0.03 it&;s been shown to be very efficient the
0.03 capacity to calculate the height and way
0.03 way more exhaustive than the kind of
0.03 solution that you guys used today and
0.03 then you create those maps every color
0.03 gives you an idea of how populated is
0.03 the macro plot and you can build
0.03 whatever custom based analytics you want
0.03 to build all of this and let me stay a
0.03 few seconds on this slide this graph
0.03 that you can see on the right side of
0.03 the slide is important because it shows
0.03 you that you can create dashboards for
0.03 the management of your company so I I
0.03 don&;t know how much of you are like
0.03 managing like a field a local field or
0.03 is managing like multiple local fields
0.03 but if you are a manager and you need to
0.03 manage fields in Latin America and
0.03 Africa and North America and Europe
0.03 China usually the data that you get from
0.03 those fields is not very homogeneous and
0.03 here you have something that is like
0.03 very absolute and you can create your
0.03 own dashboards based on all the micro
0.03 plots that would have been covered by
0.03 the drones
0.03 and every micro plot every plot would
0.03 have been observed by the same
0.03 technology and the same kind of accuracy
0.03 and precision so that&;s very very
0.03 important to understand that this tool
0.03 it makes you accelerate your digital
0.03 transformation and it makes you able to
0.03 create those those dashboards and to to
0.03 give to the management a better
0.03 understanding of what&;s happening on the
0.03 field so not only you can do that but
0.03 you can also like estimate and assess
0.03 the response to for example phone visit
0.03 here this is an example on a potato crop
0.03 well we can calculate like the the
0.03 biomass by by micro plot and that will
0.03 give us an idea on how it will respond
0.03 to the fungicides so here you can see
0.03 for example the one that is a pretty
0.03 green it shows that there has been a
0.03 good reaction to fungicide and it helps
0.03 you better like do breathing on those
0.03 kind of acids as well it can be used for
0.03 people for like people that design feet
0.03 or products or fungicides because that
0.03 will give them like better ideas of how
0.03 how it helped the plant to grow and the
0.03 last one I would like to show you it is
0.03 about with detection so here there is a
0.03 the capacity as well 2 to 2 response to
0.03 a weed killer so you can see on the left
0.03 side of the screen in blue those are the
0.03 areas and are populated with with and it
0.03 it can give you like an ID on on how it
0.03 it&;s been able to response to this so to
0.03 summarize this first part about
0.03 phenotyping don&;t worry the other parts
0.03 are a bit shorter than that but this one
0.03 on this one there was a lot of things
0.03 about the basis of the technology but to
0.03 conclude what those kind of solution can
0.03 bring you to phenotyping it can help you
0.03 to do more so multiply by 10 or 20 or
0.03 capacity of doing phenotyping and then
0.03 research it can help you to do faster so
0.03 for the traits that requires a lot of
0.03 reactivity that is very important
0.03 because then you can have like almost an
0.03 instant a newest map at at the same
0.03 stage at the same time exactly of all
0.03 your plot and it can give you a greater
0.03 accuracy so here we are talking about
0.03 pixels we&;re not talking about the
0.03 interpretation of a human eye on the
0.03 field so the pixel there is a limited
0.03 stuff you can say about it this is
0.03 exactly what you observe and this is it
0.03 this is like a photo this is something
0.03 that you can oppose to put your
0.03 foundation over unity so one of the
0.03 question that we would like to ask you
0.03 is a one of the what is the most
0.03 important cost item for your field trial
0.03 and the reason why we are asking that is
0.03 to better understand how the drone can
0.03 help you on this and and if this is
0.03 something we can help you on or if this
0.03 is not but again when I summarized like
0.03 the benefits of the drones I didn&;t talk
0.03 yet about cost because we help you do
0.03 more faster and with greater accuracy so
0.03 we help you do better on your job but
0.03 just to better understand what wet
0.03 weather where are the big cost for you
0.03 that could be an interesting information
0.03 for us so when you compare drone versus
0.03 manual counts
0.03 that kind of summarize what I just said
0.03 but it gives you like the capacity to do
0.03 more and faster and gives you a better
0.03 accuracy and it helps you see beyond the
0.03 visible so I didn&;t stress on that
0.03 enough probably
0.03 but today the human eye can only see
0.03 something dancing that plants can
0.03 express the way they reflect the light
0.03 but our eye our human eye cannot
0.03 interpret it so by using drones and
0.03 those kind of new technology I will at
0.03 least imagery and multi spectral energy
0.03 you can go beyond the limitation of a
0.03 human being and last thing I would like
0.03 to share is that by creating those
0.03 digital twins manipulating it sharing it
0.03 with a company you are setting the basis
0.03 of like leveraging artificial
0.03 intelligence for your job and this is
0.03 very important to to to understand
0.03 because if you want to be ready for the
0.03 revolution that will happen on
0.03 artificial intelligence this is the way
0.03 to go and this will prepare your data in
0.03 a smart way in a very organized way that
0.03 is good enough when the time is ready
0.03 for efficient intelligence all the
0.03 traits that have shown you they are not
0.03 all based on artificial intelligence and
0.03 to be honest with you we are we are at
0.03 the very early stages of it so I&;m not
0.03 saying today that you can detect
0.03 automatically wherever you want to see
0.03 on the on the field but if you want to
0.03 be ready for that when the technology is
0.03 here you need to be prepared and you
0.03 need to have those kind of solutions
0.03 that that collect and organize this kind
0.03 of data that&;s yeah that&;s an
0.03 interesting example to show you the
0.03 accuracy and when I told you about the
0.03 limitation of a human being there is
0.03 another limitation usually when you send
0.03 people over the field that at least is
0.03 like this in Europe to do count 10 count
0.03 this is in the summer it&;s very hot
0.03 people are getting tired that at the end
0.03 of the day and
0.03 here this is a map that shows you the
0.03 difference between the manual count and
0.03 the drawn count so when when it&;s like a
0.03 dark green it&;s exactly the same when
0.03 it&;s a light green it&;s very similar and
0.03 when it is red or orange this is very
0.03 different and you can see on this area
0.03 that is a very well identified area
0.03 there are a lot of discrepancies and
0.03 when we told that to the customer
0.03 they&;ve been double-checking the manual
0.03 count by the people who counted it and
0.03 they observed that they messed it out on
0.03 this very specific area of the field so
0.03 we don&;t know if it was because it was
0.03 the end of the of the day because the
0.03 person that was in charge of it didn&;t
0.03 know very well how to do it but this is
0.03 exactly the kind of error that you will
0.03 not have anymore if you use imagery and
0.03 run me through just a few words about
0.03 how the technology can help you on the
0.03 seed production monitoring as well so
0.03 the idea is to extract information that
0.03 will help you calculate or estimate the
0.03 yield of your field so we&;re not saying
0.03 there that we can calculate the yield
0.03 for you but we will give you a lot of
0.03 information on the field that hopefully
0.03 will help you better estimate your use
0.03 that&;s that&;s the position that you we
0.03 want to have we have just an enabler and
0.03 we still need to have like your cactus
0.03 in order to calculate do you so the the
0.03 first thing is pretty basic is to assess
0.03 the exact planted areas so sometimes you
0.03 know it can diverge a bit from the
0.03 theory and here by measuring the digital
0.03 twin you have the exact with the
0.03 centimetric all across in the exact
0.03 planted area then with the software and
0.03 drawn imagery you can qualify male and
0.03 female plant so that you can only
0.03 consider the the female one that will
0.03 give you like a better idea of how you
0.03 can
0.03 assess the yield and then again we can
0.03 estimate the number of plants in your
0.03 seed production field so that will give
0.03 you as well an idea of what could be the
0.03 yield that you can expect and remember I
0.03 don&;t have to tell you that but if you
0.03 have a better eat forecast you can
0.03 better optimize your logistics and I
0.03 have a better cost at the end of the day
0.03 another thing that you can do with this
0.03 kind of data is a to to see like the at
0.03 origin 80 and the difference is that you
0.03 cannot serve in your field and here by
0.03 analyzing like the NDVI that gives you
0.03 an idea of the crop digger you can
0.03 divide your fields in two areas if you
0.03 want and decide to do sampling in those
0.03 two areas and then you since you
0.03 consider that those area are autogenous
0.03 enough you can then extrapolate the
0.03 information that you would have observed
0.03 on something on the on the field and and
0.03 have a better ending for mation on those
0.03 area so really the idea of zoning and
0.03 sampling is a very smart way to use your
0.03 own imagery another thing so this is a
0.03 based on what we did with the customer
0.03 so this is a grid of like they they&;ve
0.03 modified like the density of seeding the
0.03 seeding rate so every square is a
0.03 different seeding rate and we are
0.03 observing with the drones the density of
0.03 the population so that we can correlate
0.03 the impact of the rate the seeding rate
0.03 with the growth of the plants so this is
0.03 something that will help you in the
0.03 future to better use like the seeding
0.03 rates because maybe sometimes you will
0.03 observe that with a too high ceiling
0.03 rate your your plant doesn&;t grow very
0.03 well so this is exactly the kind of
0.03 thing that you can do with drone imagery
0.03 because every
0.03 Excel is your reference very precisely
0.03 so you can compare everything yourself
0.03 on the field with the grid that you have
0.03 with the input that you have so that&;s a
0.03 that&;s important to know because then
0.03 you can optimize your your practices
0.03 last thing I would like to mention is a
0.03 to improve the and to optimize the
0.03 Heaviside frame so the drawn imagery and
0.03 the technology that we offer helps you
0.03 to better locate like the areas with
0.03 width and since you have better located
0.03 in the areas with with you only apply
0.03 product where there is a width so you
0.03 use less product and the idea is that
0.03 you have a environmental impact because
0.03 you use less product we estimate that
0.03 usually you can lower the amount of
0.03 product that you put in your in your
0.03 crop by 50% so it&;s better from the off
0.03 on your environment the idiot has an
0.03 economic impact because obviously the
0.03 practice is very expensive and there is
0.03 a benefits of 20 euros hectare and we&;re
0.03 working now with all the manufacturers
0.03 offer sprayers to have a seamless
0.03 integration between drone observation
0.03 and sprayers so that they can integrate
0.03 the maps that have been like created by
0.03 the drones into their prayers and do
0.03 something either section by section or
0.03 nozzle by nozzle and then to end this
0.03 webinar a few slides about how to use
0.03 the drone for photos who don&;t know how
0.03 to use the drawn there is a step one
0.03 that usually takes less than five
0.03 minutes to plan a flight so you draw an
0.03 ariane on you have a tablet with kind of
0.03 a google earth you draw the area and
0.03 then you you push a button and it will
0.03 automatically calculate the flight plan
0.03 then you launch the drone so the drone
0.03 can be mounted in less than five minutes
0.03 you launch it with your hand it will
0.03 automatically fly go along this path
0.03 cover the
0.03 the area take some imagery one thing
0.03 that is important to know is that it can
0.03 give you real-time imagery so that&;s
0.03 good because then you don&;t leave the
0.03 field unless you&;re sure you&;ve
0.03 collected the right imagery plus you can
0.03 make a ground check while the drone is
0.03 flying so that important tip so if you
0.03 observe something very strange in your
0.03 crop since you&;re already in the field
0.03 you can you can go there I&;ll serve it
0.03 with your eyes and the drone will
0.03 continue its flight and the way it&;s
0.03 been a program so that will last an hour
0.03 depending on the area that you want to
0.03 cover step 3 is that after the landing
0.03 you upload the imagery on the cloud that
0.03 we give you access to so it&;s a very
0.03 simple workflow
0.03 it&;s a drag-and-drop workflow between
0.03 your hard drive and I mean the hard
0.03 drive of the drawn and and the cloud
0.03 based software and then you click on the
0.03 button to to generate the business
0.03 insight so if you want to do 10 cows if
0.03 you wanna do the calculation of heights
0.03 it can take a few hours or a few days
0.03 depending on the exact traits that you
0.03 wanna extract or some of them it will be
0.03 instantaneous and you can have it like
0.03 by clicking on a button so really there
0.03 is a workflow for those who have already
0.03 used runs like 10 years ago there is
0.03 nothing to see even five years ago there
0.03 has been a huge huge huge improvement
0.03 between the first generation and the
0.03 third generation so really the think of
0.03 the drone as a as a tool that is a very
0.03 easy to operate
0.03 and maybe the last thing that I would
0.03 like to share with you is when you when
0.03 you decide to buy your drones so most of
0.03 you know the quad copters the multi
0.03 rotor because it&;s very cheap to buy and
0.03 it&;s very easy to operate but remember
0.03 that if you want to use it on the day I
0.03 mean on a monthly basis or weekly basis
0.03 and if you want to cover our large areas
0.03 you will spend a lot of time and money
0.03 on a personal cost so for sure the
0.03 investment is lower but your personal
0.03 costs are way way higher and here we we
0.03 gave a few numbers of what it means for
0.03 field trials from precision AG for
0.03 plantation for field trial for example
0.03 this is er around 17 year olds around
0.03 $20 per hectare while if used a 15 this
0.03 is the nine euros so not even $10 per
0.03 hectare so really keep that in mind when
0.03 you make your choice for sure the
0.03 investment is a bit better but if you
0.03 want to use it on a daily basis on a
0.03 monthly basis if you want to use it as a
0.03 tool that you will enter it into your
0.03 workflow I strongly recommend you going
0.03 to a fixed finger drum well that&;s all
0.03 the time we have for today thank you so
0.03 much for participating in today&;s seed
0.03 world innovation webinar series and I
0.03 hope you have found this information to
0.03 be of value we will have a Q&A document
0.03 available for download when this
0.03 presentation goes live on seed WorldCom
0.03 I&;d also like to quickly thank our
0.03 technical assistants Teresa and Kyle
0.03 who&;ve been working behind the scenes to
0.03 make this a successful event thanks
0.03 again and we hope you have a terrific
0.03 day this is Alex Martin of seed world
0.03 signing off
.
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