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MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments.

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第一作者： Chenhao,Yu

第一单位： College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.

作者： Chenhao,Yu ^[1] ; Xiaoyi,Shi ^[1] ; Wenkai,Luo ^[1] ; Junzhe,Feng ^[1] ; Zhouzhou,Zheng ^[2] ; Ayanori,Yorozu ^[3] ; Yaohua,Hu ^[4] ; Jiapan,Guo ^[5]

作者单位： College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China. ^[1] College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China. ^[2] Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8573, Japan. ^[3] College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.;Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8573, Japan. ^[4] Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, 9747 AG Groningen, The Netherlands. ^[5]

DOI 10.34133/plantphenomics.0258

PMID 39314991

发布时间 2024-09-25

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2024年6卷

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MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments.

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MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments.

Plant phenomics (Washington, D.C.)

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Plant phenomics (Washington, D.C.)

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