MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology.

Zhang, Yanping; Peng, Jing; Yuan, Xiaohui; Zhang, Lisi; Zhu, Dongzi; Hong, Po; Wang, Jiawei; Liu, Qingzhong; Liu, Weizhen

Zhang, Yanping; Peng, Jing; Yuan, Xiaohui; Zhang, Lisi; Zhu, Dongzi; Hong, Po; Wang, Jiawei; Liu, Qingzhong; Liu, Weizhen.

Afiliação

Zhang Y; School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China.
Peng J; School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China.
Yuan X; School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China.
Zhang L; Chongqing Research Institute, Wuhan University of Technology, Chongqing, China.
Zhu D; Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, Taian, Shandong, China.
Hong P; Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, Taian, Shandong, China.
Wang J; Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, Taian, Shandong, China.
Liu Q; Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, Taian, Shandong, China.
Liu W; Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, Taian, Shandong, China.

Hortic Res ; 8(1): 172, 2021 Aug 01.

Article em En | MEDLINE | ID: mdl-34333519

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Hortic Res Ano de publicação: 2021 Tipo de documento: Article

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