首页|期刊导航|International Journal of Agricultural and Biological Engineering|Improved YOLOv8 network using multi-scale feature fusion for detecting small tea shoots in complex environments

Improved YOLOv8 network using multi-scale feature fusion for detecting small tea shoots in complex environments

Yatao Li Liuhuan Tan Zhenghao Zhong Leiying He Jianneng Chen Chuanyu Wu Zhengmin Wu

International Journal of Agricultural and Biological Engineering2025，Vol.18Issue(5)：P.223-233,11.

International Journal of Agricultural and Biological Engineering2025，Vol.18Issue(5)：P.223-233,11.DOI:10.25165/j.ijabe.20251805.9475

Improved YOLOv8 network using multi-scale feature fusion for detecting small tea shoots in complex environments

Yatao Li ¹Liuhuan Tan ²Zhenghao Zhong ²Leiying He ³Jianneng Chen ³Chuanyu Wu ³Zhengmin Wu⁴

作者信息

1. School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China State Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization,Anhui Agricultural University,Hefei 230036,China Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry(Wuyi University),Wuyishan 354300,Fujian,China
2. School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China
3. School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China Key Laboratory of Transplanting Equipment and Technology of Zhejiang Province,Hangzhou 310018,China
4. State Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization,Anhui Agricultural University,Hefei 230036,China
折叠

摘要

关键词

tea shoot segmentation/multi-scale fusion/attention mechanism/reparameterization technique/YOLOv8-seg

分类

农业科技

引用本文复制引用

Yatao Li,Liuhuan Tan,Zhenghao Zhong,Leiying He,Jianneng Chen,Chuanyu Wu,Zhengmin Wu..Improved YOLOv8 network using multi-scale feature fusion for detecting small tea shoots in complex environments[J].International Journal of Agricultural and Biological Engineering,2025,18(5):P.223-233,11.

基金项目

supported by the National Natural Science Foundation of China(Grant No.52305289,Grant No.U23A20175) （Grant No.52305289,Grant No.U23A20175）

the Open Fund of State Key Laboratory of Tea Plant Biology and Utilization(Grant No.NKLTOF20240103) （Grant No.NKLTOF20240103）

the earmarked fund for CARS-19 and the Open Project Program of Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry,Wuyi University. （）

International Journal of Agricultural and Biological Engineering

ISSN：1934-6344

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