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Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy.
Kim, Min-Jee; Lee, Hye-In; Choi, Jae-Hyun; Lim, Kyoung Jae; Mo, Changyeun.
Afiliación
  • Kim MJ; Agriculture and Life Sciences Research Institute, Kangwon National University, Chuncheon 24314, Korea.
  • Lee HI; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24314, Korea.
  • Choi JH; Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24314, Korea.
  • Lim KJ; Department of Regional lnfrastructure Engineering, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24314, Korea.
  • Mo C; Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24314, Korea.
Sensors (Basel) ; 22(14)2022 Jul 08.
Article en En | MEDLINE | ID: mdl-35890809
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Suelo / Ecosistema Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Suelo / Ecosistema Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article