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Nondestructive 3D phenotyping method of passion fruit based on X-ray micro-computed tomography and deep learning.

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第一作者： Yuwei,Lu

第一单位： Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.;MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, China.

作者： Yuwei,Lu ^[1] ; Rui,Wang ^[2] ; Tianyu,Hu ^[1] ; Qiang,He ^[3] ; Zhou Shuai,Chen ^[3] ; Jinhu,Wang ^[3] ; Lingbo,Liu ^[1] ; Chuanying,Fang ^[4] ; Jie,Luo ^[4] ; Ling,Fu ^[5] ; Lejun,Yu ^[3] ; Qian,Liu ^[5]

作者单位： Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.;MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, China. ^[1] College of Tropical Crops, Hainan University, Haikou, China. ^[2] School of Biomedical Engineering, Hainan University, Haikou, China. ^[3] College of Tropical Crops, Hainan University, Haikou, China.;Sanya Institute of China Agricultural University, Sanya, China. ^[4] Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.;MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, China.;School of Biomedical Engineering, Hainan University, Haikou, China. ^[5]

关键词 deep learning micro-CT nondestructive passion fruit phenotypic traits plant phenomics

DOI 10.3389/fpls.2022.1087904

PMID 36714758

发布时间 2025-06-24

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