YOLOv8-RCAA: A Lightweight and High-Performance Network for Tea Leaf Disease Detection
Jingyu Wang,
Miaomiao Li,
Chen Han
et al.
Abstract:Deploying deep convolutional neural networks on agricultural devices with limited resources is challenging due to their large number of parameters. Existing lightweight networks can alleviate this problem but suffer from low performance. To this end, we propose a novel lightweight network named YOLOv8-RCAA (YOLOv8-RepVGG-CBAM-Anchorfree-ATSS), aiming to locate and detect tea leaf diseases with high accuracy and performance. Specifically, we employ RepVGG to replace CSPDarkNet63 to enhance feature extraction ca… Show more
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