Federated deep learning for cotton leaf disease detection in Indian agricultural environments using EfficientNet B0 and FedSCAFFOLD

Abstract The increasing prevalence of cotton leaf diseases poses substantial risks to crop productivity, highlighting the need for scalable and privacy-aware diagnostic frameworks in modern agriculture. Conventional centralized machine learning approaches require aggregation of field data from multi...

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Principais autores:	Debangana Ram, Anish Avadhanam, Manasi Gyanchandani, Akhtar Rasool, Nilay Khare, Mohit Kushwaha
格式:	Artigo
語言:	Inglês
出版:	Springer 2026-05-01
叢編:	Discover Artificial Intelligence
主題:	Client drift reduction Cotton leaf disease Data privacy EfficientNetB0 FedSCAFFOLD Federated learning
在線閱讀:	https://doi.org/10.1007/s44163-026-01327-8
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