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Machine Learning Methods for Automatic Segmentation of Images of Field- and Glasshouse-Based Plants for High-Throughput Phenotyping.
Okyere, Frank Gyan; Cudjoe, Daniel; Sadeghi-Tehran, Pouria; Virlet, Nicolas; Riche, Andrew B; Castle, March; Greche, Latifa; Mohareb, Fady; Simms, Daniel; Mhada, Manal; Hawkesford, Malcolm John.
Afiliación
  • Okyere FG; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Cudjoe D; School of Water, Energy and Environment, Soil, Agrifood and Biosciences, Cranfield University, Bedford MK43 0AL, UK.
  • Sadeghi-Tehran P; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Virlet N; School of Water, Energy and Environment, Soil, Agrifood and Biosciences, Cranfield University, Bedford MK43 0AL, UK.
  • Riche AB; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Castle M; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Greche L; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Mohareb F; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Simms D; Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK.
  • Mhada M; School of Water, Energy and Environment, Soil, Agrifood and Biosciences, Cranfield University, Bedford MK43 0AL, UK.
  • Hawkesford MJ; School of Water, Energy and Environment, Soil, Agrifood and Biosciences, Cranfield University, Bedford MK43 0AL, UK.
Plants (Basel) ; 12(10)2023 May 19.
Article en En | MEDLINE | ID: mdl-37653952
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Plants (Basel) Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Plants (Basel) Año: 2023 Tipo del documento: Article