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Aerial Imagery Analysis - Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy.
Guo, Wei; Zheng, Bangyou; Potgieter, Andries B; Diot, Julien; Watanabe, Kakeru; Noshita, Koji; Jordan, David R; Wang, Xuemin; Watson, James; Ninomiya, Seishi; Chapman, Scott C.
Afiliación
  • Guo W; International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Zheng B; Agriculture and Food - Commonwealth Scientific and Industrial Research Organisation, St Lucia, QLD, Australia.
  • Potgieter AB; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD, Australia.
  • Diot J; Montpellier SupAgro, Montpellier, France.
  • Watanabe K; Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Noshita K; Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Jordan DR; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, QLD, Australia.
  • Wang X; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, QLD, Australia.
  • Watson J; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD, Australia.
  • Ninomiya S; International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Chapman SC; Agriculture and Food - Commonwealth Scientific and Industrial Research Organisation, St Lucia, QLD, Australia.
Front Plant Sci ; 9: 1544, 2018.
Article en En | MEDLINE | ID: mdl-30405675
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2018 Tipo del documento: Article País de afiliación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2018 Tipo del documento: Article País de afiliación: Japón