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Fruit detection and yield estimation in Camellia oleifera based on improved YOLOv8 and ByteTrack algorithm

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成果类型:
期刊论文
作者:
Dong, Zhipeng;Long, Wei;Yang, Fan;Yu, Chunlian;Du, Jiayi;...
通讯作者:
Kailiang Wang
作者机构:
[Long, Wei; Wang, Kailiang] State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding of Zhejiang Province, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, Zhejiang, China
[Yang, Fan; Du, Jiayi] College of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
[Yu, Chunlian] Changshan Country Oil Tea Industry Development Center, Changshan 324299, China
[Lyu, Leyan] College of Hydraulic Engineering, Zhejiang Tongji Vocational College of Science and Technology, Hangzhou 311231, Zhejiang, China
[Dong, Zhipeng] State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding of Zhejiang Province, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, Zhejiang, China<&wdkj&>College of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
通讯机构:
[Kailiang Wang] S
State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding of Zhejiang Province, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, Zhejiang, China
语种:
英文
关键词:
Camellia oleifera;Deep learning;Fruit detection;Multi-target tracking;Fruit counting;Yield estimation
期刊:
Smart Agricultural Technology
ISSN:
2772-3755
年:
2025
卷:
12
页码:
101435
基金类别:
Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding [2021C02070-2]; Quz-hou Science & Technology Project [2022K303]
机构署名:
本校为其他机构
院系归属:
计算机与信息工程学院
摘要:
Camellia oleifera , an essential woody oil tree species, produces camellia oil, which is highly nutritious and edible after seed pressing. The demand for camellia oil has increased in recent years, so accurate estimates of camellia oil production are key to fruit harvesting and price setting. The rapid development of computer vision and deep learning techniques has found wide applications in agriculture, demonstrating significant fruit detection capabilities. This study proposes a surface fruit detection algorithm in C.oleifera based on the imp...

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