TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model
TL;DR
TDR-Model improves tomato disease recognition by using image dehazing to handle foggy conditions in greenhouses and an enhanced MobileNetV3 model for better accuracy.
TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model
Zhixiang Zhang; Tong Liu; Jinyu Gao; Meng Yang; Wenjun Luo; Fanqiang Lin
https://doi.org/10.1109/ACCESS.2024.3522101
Volume 13
Currently, deep learning applications in tomato disease recognition are becoming widespread. However, in greenhouse tomato cultivation environments, many techniques neglect the foggy image caused by wet conditions, adversely affecting the performance of disease recognition models, which still remains unresolved. To alleviate adverse environmental impacts, such as fog, and enhance the precision and...