A Lightweight YOLOv8 Tomato Detection Algorithm Combining Feature Enhancement and Attention

• Published in: Agronomy (Basel) Vol. 13; no. 7; p. 1824
• Main Authors: Yang, Guoliang, Wang, Jixiang, Nie, Ziling, Yang, Hao, Yu, Shuaiying
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Agricultural production; Agriculture; agronomy; Algorithms; Analysis; Annotations; automatic; automatic detection; Automation; Cellular telephones; Complexity; Convolution; data collection; Datasets; Deep learning; DPAG; DSConv; Evaluation; Feature maps; FEM; Fruits; Harvest; Harvesting; Machine learning; Modules; Object recognition; Performance evaluation; Picking; Recall; Robots; Support vector machines; Technical services; tomato detection; Tomatoes; YOLOv8s; China

A tomato automatic detection method based on an improved YOLOv8s model is proposed to address the low automation level in tomato harvesting in agriculture. The proposed method provides technical support for the automatic harvesting and classification of tomatoes in agricultural production activities...