Open access
Aug 2026
CMAE-Unet: A Study on a U-Net-Based Model for Semantic Segmentation of Unripe Tomato Images
This work proposes CMAE-UNet, a camouflage suppression and edge enhancement model based on the UNet architecture that robustly withstands field interference, providing strong technological support for automated tomato detection, intelligent harvesting, and growth monitoring.
Jian-Hua Zheng, Huang-Hui Zhao, Xiaoshan Ma et al.
· AgriEngineering · 0 citations