Therefore we aim to map the crop water status using remote sensing from drones and satellites, to better tune the irrigation scheduling to the crop water demand.In this way we want to increase the likelihood of stable harvests in a changing climate, which will also increase the financial resilience of local farms.
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
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?
For the first time in Flanders a test flight has been carried out with a spray drone - a drone that can apply plant protection products to field crops.
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.
Smart cameras on drones or tractors can detect plant diseases in agricultural crops.
Weed detection via automatic drones, linked via 5G in real-time to the tractor.