3 papers
cs.CV2025
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
Farouq Benchallal, Adel Hafiane, Nicolas Ragot +1
Weed species classification represents an important step for the development of automated targeting systems that allow the adoption of precision agriculture practices. To reduce co…
cs.LG2025
Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin +1
Crop disease detection and classification is a critical challenge in agriculture, with major implications for productivity, food security, and environmental sustainability. While d…
cs.CV2025
Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentation
Anas Berka, Mohamed El Hajji, Raphael Canals +2
Aerial and satellite imagery are inherently complementary remote sensing sources, offering high-resolution detail alongside expansive spatial coverage. However, the use of these so…