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A reminder: Preprints are preliminary reports of work which have not been certified by peer review. They should not be relied on to guide production practices or other behaviors and not be reported as established information in news media as well.

A reminder: Preprints are preliminary reports of work which have not been certified by peer review. They should not be relied on to guide production practices or other behaviors and not be reported as established information in news media as well.

Poster

MFCIS: An automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology IHRC2021

Yanping Zhang, School of Computer Science and Technology, Wuhan University of Technology, chenmo@whut.edu.cn
, ,
Jing Peng, School of Computer Science and Technology, Wuhan University of Technology, pengjing@whut.edu.cn
Xiaohui Yuan, School of Computer Science and Technology, Wuhan University of Technology, yuanxiaohui@whut.edu.cn
Lisi Zhang, Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, sdipzls@163.com
Dongzi Zhu, Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, zhudongzitina@126.com
Po Hong, Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, hongpo@sdau.edu.cn
Jiawei Wang, Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, wangjw-sdip@qq.com
Qingzhong Liu, Shandong Key Laboratory of Fruit Biotechnology Breeding, Shandong Institute of Pomology, qzliu001@126.com
Weizhen Liu, School of Computer Science and Technology, Wuhan University of Technology, liuweizhen@whut.edu.cn

doi:  10.48130/IHRC2021-pst-0076

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