Lightweight Fruit-Detection Algorithm for Edge Computing Applications.

Zhang, Wenli; Liu, Yuxin; Chen, Kaizhen; Li, Huibin; Duan, Yulin; Wu, Wenbin; Shi, Yun; Guo, Wei

Zhang, Wenli; Liu, Yuxin; Chen, Kaizhen; Li, Huibin; Duan, Yulin; Wu, Wenbin; Shi, Yun; Guo, Wei.

Afiliação

Zhang W; Department of Information, Beijing University of Technology, Beijing, China.
Liu Y; Department of Information, Beijing University of Technology, Beijing, China.
Chen K; Department of Information, Beijing University of Technology, Beijing, China.
Li H; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Duan Y; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, Beijing, China.
Wu W; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Shi Y; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, Beijing, China.
Guo W; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.

Front Plant Sci ; 12: 740936, 2021.

Article em En | MEDLINE | ID: mdl-34721466

Palavras-chave

deep learning; edge devices; fruit detection; lightweight; modern horticulture

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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