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Nitrogen diagnosis based on dynamic characteristics of rice leaf image.
Sun, Yuanyuan; Zhu, Shaochun; Yang, Xuan; Weston, Melanie Valerie; Wang, Ke; Shen, Zhangquan; Xu, Hongwei; Chen, Lisu.
Afiliação
  • Sun Y; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Zhu S; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Yang X; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Weston MV; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Wang K; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Shen Z; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Xu H; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
  • Chen L; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
PLoS One ; 13(4): e0196298, 2018.
Article em En | MEDLINE | ID: mdl-29689107
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Processamento de Imagem Assistida por Computador / Folhas de Planta / Nitrogênio Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Processamento de Imagem Assistida por Computador / Folhas de Planta / Nitrogênio Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos