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Exploring the use of Sentinel-2 datasets and environmental variables to model wheat crop yield in smallholder arid and semi-arid farming systems.
Qader, Sarchil Hama; Utazi, Chigozie Edson; Priyatikanto, Rhorom; Najmaddin, Peshawa; Hama-Ali, Emad Omer; Khwarahm, Nabaz R; Tatem, Andrew J; Dash, Jadu.
Afiliação
  • Qader SH; School of Geography and Environmental Science, University of Southampton, Southampton, UK; Natural Resources Department, College of Agricultural Engineering Sciences, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq. Electronic address: S.Qader@soton.ac.uk.
  • Utazi CE; School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Priyatikanto R; School of Geography and Environmental Science, University of Southampton, Southampton, UK; Research Center for Space, National Research and Innovation Agency, Bandung 40173, Indonesia.
  • Najmaddin P; Natural Resources Department, College of Agricultural Engineering Sciences, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq.
  • Hama-Ali EO; Biotechnology and Crop Science Department, College of Agricultural Engineering Sciences, University of Sulaimani, Sulaimani 46001, Kurdistan Region, Iraq.
  • Khwarahm NR; Department of Biology, College of Education, University of Sulaimani, Sulaimani 46001, Kurdistan Region, Iraq.
  • Tatem AJ; School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Dash J; School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Sci Total Environ ; 869: 161716, 2023 Apr 15.
Article em En | MEDLINE | ID: mdl-36690106
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triticum / Agricultura Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de publicação: Holanda
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: Triticum / Agricultura Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de publicação: Holanda