3 citations · 4 across the 3 of their papers we have counts for
3 papers
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
Maurice Günder, Facundo R. Ispizua Yamati, Jana Kierdorf +3
UAV-based image retrieval in modern agriculture enables gathering large amounts of spatially referenced crop image data. In large-scale experiments, however, UAV images suffer from…
Combining expert knowledge and neural networks to model environmental stresses in agriculture
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein +1
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses. We first d…
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Patrick Schramowski, Wolfgang Stammer, Stefano Teso +5
Deep neural networks have shown excellent performances in many real-world applications. Unfortunately, they may show "Clever Hans"-like behavior -- making use of confounding factor…