Multi-Plant Disease Identification Based on Lightweight ResNet18 Model
Li Ma,
Yuanhui Hu,
Yao Meng
et al.
Abstract:Deep-learning-based methods for plant disease recognition pose challenges due to their high number of network parameters, extensive computational requirements, and overall complexity. To address this issue, we propose an improved residual-network-based multi-plant disease recognition method that combines the characteristics of plant diseases. Our approach introduces a lightweight technique called maximum grouping convolution to the ResNet18 model. We made three enhancements to adapt this method to the characte… Show more
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