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.
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.
The production of plant protection products and artificial fertilizers also requires energy and therefore also has an important climate impact. By developing plant-strengthening crop substrates locally based on residual flows, a great deal of climate gain can be achieved and horticulture can take a step further in closing cycles.
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?
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