Development of a Soil Moisture Prediction Model Based on Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) in Soybean Cultivation

Due to climate change, soil moisture may increase, and outflows could become more frequent, which will have a considerable impact on crop growth. Crops are affected by soil moisture; thus, soil moisture prediction is necessary for irrigating at an appropriate time according to weather changes. There...

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Detalles Bibliográficos
Autores principales: Park, Soo-Hwan, Lee, Bo-Young, Kim, Min-Jee, Sang, Wangyu, Seo, Myung Chul, Baek, Jae-Kyeong, Yang, Jae E, Mo, Changyeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960646/
https://www.ncbi.nlm.nih.gov/pubmed/36850574
http://dx.doi.org/10.3390/s23041976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960646/
https://www.ncbi.nlm.nih.gov/pubmed/36850574
http://dx.doi.org/10.3390/s23041976

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