VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map by Mohamed Kerkech, Adel Hafiane, Raphael Canals

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Generative-Model-Based Data Labeling for Deep Network Regression: Application to Seed Maturity Estimation from UAV Multispectral Images by Eric Dericquebourg, Adel Hafiane, Raphael Canals

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CRowNet: Deep Network for Crop Row Detection in UAV Images by Mamadou Dian Bah, Adel Hafiane, Raphael Canals

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Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images by M Dian Bah, Adel Hafiane, Raphael Canals

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Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images by Reenul Reedha, Eric Dericquebourg, Raphael Canals, Adel Hafiane

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Image-based crop disease detection with federated learning by Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, Raphaël Canals

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Segmentation of Plantar Foot Thermal Images Using Prior Information by Asma Bougrine, Rachid Harba, Raphael Canals, Roger Ledee, Meryem Jabloun, Alain Villeneuve

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Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research by Maryam Ouhami, Adel Hafiane, Youssef Es-Saady, Mohamed El Hajji, Raphael Canals

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CactiViT: Image-based smartphone application and transformer network for diagnosis of cactus cochineal by Anas Berka, Adel Hafiane, Youssef Es-Saady, Mohamed El Hajji, Raphaël Canals, Rachid Bouharroud

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