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Drones in agrofood: drone-based phenotyping for experimental fields

Drones in agrofood: drone-based phenotyping for experimental fields

This workshop aims to inspire organizations from both the agricultural sector (seeds, agro-chemicals, biologicals, consultants, ... ) and drone sector with the aim to increase the knowledge and use of operational drone services for agricultural applications.Irene Borra-Serrano (ILVO) and Dries Raymaekers (VITO) will show you the possibilities of drone-base

Phenotyping crops in experimental fields is a great example of where drone technology can offer excellent value for the agricultural sector. Drones allow us to measure plant traits of interest in a scalable and objective way. But what is phenotyping exactly? What are the possibilities and limitations? And how can I get started?

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Research infrastructure

seed processing and a seed labSequence databases to identify various organismsGene database for plantsA horizontally-organized measuring platform for chromatography - mass spectrometry: Meet@allA horizontally-organized Genomics Platform for studying genes and genomesAIplatform4agrifood (coming soon)The data-sharing platform DjustConnectThe latest drone


ILVO bezit volgende drones gebruikt voor onderzoek: DJI Phantom 4 Pro DJI Matrice 600 Pro Altigator Hydra-12 Het gebruik van deze drones gaat gepaard met volgende sensoren: Sony Alfa 6 (RGB) Sony Alfa 7 Mk III (RGB) DJI Phantom 4 Pro geïntegreerde camera (RGB) Parrot Sequoia (Multispectraal 4 banden) MikaSense RedEdge (Multispectraal 5 banden) Workswell

A14Agriculture EN

This project aims to do so by combining artificial intelligence (AI) with RGB and multispectral cameras and drones that map disease and weed levels in crops. This technology will enable the farmer or contractor to use the right products, at the right rate, in the right places, with efficient disease and weed control as a result. How does it work?


Read more >>> Disease and weed detection using cameras and AI Can cameras on sprayer booms and drones combined with AI accurately detect and control disease and weed in the field?


Via een drone, voorzien van een camera worden percelen van betrokken landbouwers in beeld gebracht. Alle data die in deze eerste fase van het project worden verzameld, worden in een tweede fase gebruikt voor de ontwikkeling van detectie-algoritmes op basis van Artificiële Intelligentie (AI). Er wordt gefocust op twee teelten: aardappel en maïs.