2024
DOI: 10.3389/fpls.2024.1269423
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Real-time and lightweight detection of grape diseases based on Fusion Transformer YOLO

Yifan Liu,
Qiudong Yu,
Shuze Geng

Abstract: IntroductionGrapes are prone to various diseases throughout their growth cycle, and the failure to promptly control these diseases can result in reduced production and even complete crop failure. Therefore, effective disease control is essential for maximizing grape yield. Accurate disease identification plays a crucial role in this process. In this paper, we proposed a real-time and lightweight detection model called Fusion Transformer YOLO for 4 grape diseases detection. The primary source of the dataset com… Show more

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