Rectifying the extremely weakened signals for cassava leaf disease detection

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Jiayu Zhang, Baohua Zhang, Innocent Nyalala, Peter Mecha, Junlong Chen, Kunjie Chen, Junfeng Gao

Published: 2025, Last Modified: 05 Dec 2025Comput. Electron. Agric. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Proposed a weakly supervised neural network for cassava leaf disease detection.•Proving the hidden weakened signal status existed in a neural network.•Modeling boundary of the non-linear fitting method for weakened signal repair.•Exhibiting the impact of the non-linear fitting method in the frequency domain.