RepDI: A light-weight CPU network for apple leaf disease identification

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Jiye Zheng, Kaiyu Li, Wenbin Wu, Huaijun Ruan

Published: 01 Jan 2023, Last Modified: 13 Nov 2024Comput. Electron. Agric. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•An efficient lightweight model based on structural reparameterization for apple leaf disease identification (RepDI).•RepDI is a CPU-friendly model by the using of structural reparameterization.•A lightweight parallel channel & spatial attention module is proposed.•A novel apple leaf disease dataset is collected and released.

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