Anne-Katrin Mahlein (Universität Göttingen, Germany): “Sensors, robots and artificialintelligence for plant disease detection and integrated pest management"
Further in the programme, papers allocated to the topics mentioned below will be presented in concurrent sessions.
This project aims to do so by combining artificialintelligence (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?
Webinar: “AI in Agri-food” In this webinar we talked about the application of ArtificialIntelligence 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.
Over the next five years, ILVO may help shape a new European Test and Experiment Facility, a so-called TEF, to boost and accelerate the application of artificialintelligence and robotics in the agricultural and food chain in Flanders and Europe.
A tool for claw lesion classification is currently being developed using thermal cameras and artificialintelligence. For sows, we have developed a system that measures the weight distribution and thus detects whether a sow is lame on a particular leg.
That system is being developed by scientists using both classical image recognition methods and artificialintelligence. The software developed is already capable of measuring fish transported on a conveyor belt with an average degree of accuracy of under 3mm under standardized conditions.
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