A Lightweight Greenhouse Tomato Fruit Identification Method Based on Improved YOLOv11n

The aim of this paper is to propose an improved lightweight YOLOv11 detection method in response to the difficulty of extracting tomato fruit features in greenhouse environments and the need for lightweight picking equipment. Firstly, the conventional step convolution is substituted by the Average p...

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Bibliographic Details
Main Authors: Xingyu Gao, Fengyu Li, Jun Yan, Qinyou Sun, Xianyong Meng, Pingzeng Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
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Online Access:https://www.mdpi.com/2077-0472/15/14/1497
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