Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion. [PDF]
Deng S, Zhu J, Hu Y, He M, Xia Y.
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Identification of the Antagonistic Fungus <i>Diaporthe phoenicicola</i> Against Rhododendron Brown Spot Disease and Its Disease Control and Plant Growth-Promoting Efficacy. [PDF]
Sun Y +6 more
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VCPC: virtual contrastive constraint and prototype calibration for few-shot class-incremental plant disease classification. [PDF]
Lou L +6 more
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion. [PDF]
Assaduzzaman M +5 more
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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applications. [PDF]
Sowmiya K, Thenmozhi M.
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Regional feature purification contrastive learning for wheat biotic stress detection. [PDF]
Chen J, Chen YX, Xu SH.
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Phylogeny and taxonomy of <i>Cercospora malkoffii</i> (<i>Mycosphaerellaceae</i>). [PDF]
Kreth LS +3 more
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XLTLDisNet: A novel and lightweight approach to identify tomato leaf diseases with transparency. [PDF]
Das A +5 more
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Modelling the effectiveness of Integrated Pest Management strategies for the control of Septoria tritici blotch. [PDF]
Vincent EMR, Hill EM, Parnell S.
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An Indian UAV and leaf image dataset for integrated crop health assessment of soybean crop. [PDF]
Shinde S, Attar V.
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