Tomato Leaf Disease Detection Method Based on Multi-Scale Feature Fusion. [PDF]
Meng X, Chen C, Dong W, Wang K.
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Optical coherence tomography for early detection of crop infection. [PDF]
Sasi GS, Matcher SJ, Chauvet AAP.
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Cross Disease Similarity Awareness Learning (CDSAL) with DenseNet-EfficientNet embedding fusion for high-precision tomato leaf pathology classification with Grad-CAM explainability. [PDF]
Vanmathi C +4 more
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Frequency-domain attention enhanced YOLOv11-EfficientFormerV2 for Tiny lesion detection in complex field plant images. [PDF]
Zhang S, Liu R.
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TDAVM-UNet: task-driven attention VM-UNet for crop disease detection from UAV imagery. [PDF]
Zhang S, Xu C, Zhao Y, Zhang T.
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Susceptibility of durum wheat to Fusarium graminearum, Blumeria graminis f.sp. tritici, and Zymoseptoria tritici in Poland. [PDF]
Wachowska U +6 more
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ShuffleNetV2 SSM MLCA: a lightweight recognition network for wheat fungal diseases. [PDF]
Shi Y, Zeng C, Chi N.
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DAPR-AM-Net: an end-to-end smart farming system powered by dual-attention progressive refinement and adaptive MixUp for explainable tomato leaf disease classification and forecasting. [PDF]
Wang R, Yu X, Lu L, Chen C.
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A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments. [PDF]
Hoang TM +5 more
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Toward smart agriculture: a hybrid mamba-transformer vision framework for plant disease detection. [PDF]
Zhang Q, Zhao J, Cai YL, Liu K, Li Y.
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