Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning.

Towett, Erick K; Drake, Lee B; Acquah, Gifty E; Haefele, Stephan M; McGrath, Steve P; Shepherd, Keith D

Towett, Erick K; Drake, Lee B; Acquah, Gifty E; Haefele, Stephan M; McGrath, Steve P; Shepherd, Keith D.

Afiliación

Towett EK; World Agroforestry (ICRAF), Nairobi, Kenya.
Drake LB; Department of Anthropology, University of New Mexico, Albuquerque, NM, United States of America.
Acquah GE; Department of Sustainable Agricultural Sciences, Rothamsted Research, Harpenden, United Kingdom.
Haefele SM; Department of Sustainable Agricultural Sciences, Rothamsted Research, Harpenden, United Kingdom.
McGrath SP; Department of Sustainable Agricultural Sciences, Rothamsted Research, Harpenden, United Kingdom.
Shepherd KD; World Agroforestry (ICRAF), Nairobi, Kenya.

PLoS One ; 15(12): e0242821, 2020.

Article en En | MEDLINE | ID: mdl-33301449

Asunto(s)

Fertilizantes/análisis; Aprendizaje Automático; Nutrientes/análisis; Agricultura Orgánica; Suelo/química; Espectrometría por Rayos X; Espectroscopía Infrarroja por Transformada de Fourier

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Suelo / Nutrientes / Fertilizantes / Agricultura Orgánica / Aprendizaje Automático Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Kenia

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