ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia. [PDF]
Front Artif IntellKalunga P, Kunda D, Zimba A.
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An attention-augmented lightweight convolutional framework for fine-grained plant leaf disease classification. [PDF]
Front Plant SciD A, T LN, Prusty MR.
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Precise leaf damage detection across diverse species and environments via a large-scale vision model. [PDF]
Front Plant SciChen W, Ruan H, Zhou P, He L, Ruan X.
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AI-powered detection of pumpkin leaf diseases using DualFusion-CBAM-stochastic for yield protection and precision agriculture. [PDF]
Front Plant SciBhuria R +8 more
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PriBeL-Net: Extending betel leaf dataset with CNN-based image classification. [PDF]
MethodsXMane G +6 more
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Activation of OsOxO2 by T-DNA Insertion Affects Plant Height and Leaf Angle in Rice. [PDF]
Rice (N Y)Hu XW +8 more
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HFA-Net: Explainable Multi-Scale Deep Learning Framework for Illumination-Invariant Plant Disease Diagnosis in Precision Agriculture. [PDF]
Sensors (Basel)Ashraf MH, Jabeen F, Waqar M, Kim A.
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TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies. [PDF]
Sci RepGhosh H +5 more
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Root Microbiota: Orchestrating Architecture-Smart Crops. [PDF]
Microb BiotechnolChen Q, Yao Y, Chen H, Jia B.
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FD-DEIM: efficient and robust detection of small, irregular foliar lesions in the field. [PDF]
Front Plant SciZeng H, Tao J.
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