Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping.

Zhou, Shuo; Chai, Xiujuan; Yang, Zixuan; Wang, Hongwu; Yang, Chenxue; Sun, Tan

Zhou, Shuo; Chai, Xiujuan; Yang, Zixuan; Wang, Hongwu; Yang, Chenxue; Sun, Tan.

Afiliação

Zhou S; Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South St., Beijing, 100081, China.
Chai X; Key Laboratory of Big Agri-Data, Ministry of Agriculture, Beijing, China.
Yang Z; Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South St., Beijing, 100081, China. chaixiujuan@caas.cn.
Wang H; Key Laboratory of Big Agri-Data, Ministry of Agriculture, Beijing, China. chaixiujuan@caas.cn.
Yang C; Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South St., Beijing, 100081, China.
Sun T; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South St., Beijing, 100081, China.

Plant Methods ; 17(1): 48, 2021 Apr 29.

Article em En | MEDLINE | ID: mdl-33926480

Palavras-chave

Computer vision; Convolutional neural network; Deep learning; Instance segmentation; Maize phenotyping

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

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