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Found 4 papers, 2 papers with code
SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
One novelty in this work is the combination of remote sensing data with environmental parameters of the experimental sites for disease severity prediction.
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
Our workflow is able to automatize plant cataloging and training image extraction, especially for large datasets.
Combining expert knowledge and neural networks to model environmental stresses in agriculture
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses.
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Deep neural networks have shown excellent performances in many real-world applications.
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