Integrating Sensory Evaluation, Electronic Nose, and Metabolomics to Characterize Aroma in Peach and Nectarine Varieties. [PDF]
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Optimised MobileNet for very lightweight and accurate plant leaf disease detection. [PDF]
Nnamdi UV, Abolghasemi V.
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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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RFDAF-Net: a novel region-specific feature decoupling and adaptive fusion network for field soybean disease identification in precision agriculture. [PDF]
Pan R, Yang Q, Chen Y, Cao J.
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Research on the intelligent detection model of plant diseases based on MamSwinNet. [PDF]
Zhang A, Liu W.
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IRMKD: an application of instance relation matrix in plant disease recognition. [PDF]
Huang J, Su J, Cheng T.
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Research progress on the roles of actin-depolymerizing factor in plant stress responses. [PDF]
Sun Y +8 more
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Editorial: Plant genomics and pathogenomics: from technology to application in improving crop disease resistance. [PDF]
Panwar V, Bakkeren G.
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Deep learning technique for plant disease classification and pest detection and model explainability elevating agricultural sustainability. [PDF]
Shafik W +4 more
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Advances in the Analytical Determination and Toxicological Assessment of Dithiocarbamates and Their Hydrolysis Products in Fruits, Vegetables, and Cereals: Methodological Evolution, Challenges, and Future Directions. [PDF]
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