EffResViT-SE FusionNet: A Hybrid Deep Learning Framework for Accurate Classification of Coffee Leaf Diseases. [PDF]
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Lipid Metabolism and Actin Cytoskeleton Regulation Underlie Yield and Disease Resistance in Two <i>Coffea canephora</i> Breeding Populations. [PDF]
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Preserving diversity for speciality coffees. A focus on production systems and genetic resources of arabica coffee in Ethiopia [PDF]
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SinGAN-CBAM: a multi-scale GAN with attention for few-shot plant disease image generation. [PDF]
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Development of Experimental Techniques to Study Blueberry Rust (<i>Pucciniastrum minimum</i>) Urediniospore Survival. [PDF]
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Robust coffee plant disease classification using deep learning and advanced feature engineering techniques. [PDF]
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Characterizing the plant functional traits of coffee agroecosystems in Indonesia. [PDF]
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Oméga3 : an ecologically intensive approach for the design of sustainable cropping systems in the tropics [PDF]
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A Large-Scale In-the-wild Dataset for Plant Disease Segmentation. [PDF]
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Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs). [PDF]
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