Potatoes as viewed by the drone: the results
Potatoes as viewed by the drone: the results
Every three days, a drone with a camera took images of the plants (and any weeds).
Search results for Drone
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?
Futureproof DroneXperience
Main research questionThe aim of DroneXperience is to set up 5 training courses within the theme of drones. Various partners work together on 5 themes: (1) drones for precision agriculture, (2) drones for construction, (3) drones for offshore, (4) construction and maintenance of drones and (5) drones and data protection.
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
Drones
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?
Rice remote monitoring: climate change resilience and agronomical management practices for regional adaptation
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.
Enhancing Competitiveness, Resilience and Sustainability of Remote Farming, Forestry and Rural Areas through Holistic Assessment of Smart XG, Last-mile and Edge Solutions’ Gains
In Spain, for example, an agricultural application is planned that will use 5G-connected drones to monitor agricultural crops. In Greece, an experiment is deploying eHealth robots to help rural elderly people as caregivers and companions. In the Scilly Isles in the UK, they are organizing a trial of balloons and drones to provide 5G coverage.
Stories
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?