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Development of a Soil Moisture Prediction Model Based on Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) in Soybean Cultivation.
Park, Soo-Hwan; Lee, Bo-Young; Kim, Min-Jee; Sang, Wangyu; Seo, Myung Chul; Baek, Jae-Kyeong; Yang, Jae E; Mo, Changyeun.
Afiliação
  • Park SH; Interdisciplinary Program in Smart Agriculure, Kangwon National University, Chuncheon 24341, Republic of Korea.
  • Lee BY; Interdisciplinary Program in Smart Agriculure, Kangwon National University, Chuncheon 24341, Republic of Korea.
  • Kim MJ; Agriculture and Life Sciences Research Institute, Kangwon National University, Chuncheon 24341, Republic of Korea.
  • Sang W; Divison of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration, Hyoksin-ro 181, Iseo-myeon, Wanju-gun 55365, Republic of Korea.
  • Seo MC; Divison of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration, Hyoksin-ro 181, Iseo-myeon, Wanju-gun 55365, Republic of Korea.
  • Baek JK; Divison of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration, Hyoksin-ro 181, Iseo-myeon, Wanju-gun 55365, Republic of Korea.
  • Yang JE; Department of Natural Resources and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea.
  • Mo C; Interdisciplinary Program in Smart Agriculure, Kangwon National University, Chuncheon 24341, Republic of Korea.
Sensors (Basel) ; 23(4)2023 Feb 10.
Article em En | MEDLINE | ID: mdl-36850574

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glycine max / Memória de Curto Prazo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glycine max / Memória de Curto Prazo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article