Search results for Artificial intelligence

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?

Demo Vision Inspection

Webinar: “AI in Agri-food” In this webinar we talked about the application of Artificial Intelligence for digital image processing. An application example was demonstrated where peppers were automatically divided into two grading classes and sorted out using a parallel robot arm.


Precision livestock farming

A tool for claw lesion classification is currently being developed using thermal cameras and artificial intelligence. For sows, we have developed a system that measures the weight distribution and thus detects whether a sow is lame on a particular leg.


Read more >>> Anomaly detection in potato cultivation via drone technology Agricultural technological innovations increasingly use Artifical Intelligence (AI) and Deep Learning. Unfortunately, the development of such models is incredibly data-intensive and requires a lot of labelling work.


Stories Disease and weed detection and control using cameras and AI (Artifical intelligence) Can cameras on sprayer booms and drones combined with AI accurately detect and control disease and weed in the field?



After 2020, Europe will move towards a food system with less crop protection, less artificial fertilizer, better soil management, and more biodiversity.


Soil health

Together, this 'soil life' is responsible for countless functions: Keeping plant diseases and pests under controlRecycling organic matter into plant nutrientsAssociating with plant roots (e.g. with soy)Improving soil structure with positive effects on aerationRetaining water and nutrientsBetter plant production that is less dependent on inputs such as (artificial

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