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

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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Bibliographic Details
Main Authors: Soo-Hwan Park, Bo-Young Lee, Min-Jee Kim, Wangyu Sang, Myung Chul Seo, Jae-Kyeong Baek, Jae E Yang, Changyeun Mo
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
smart farming
time series analysis
soil moisture
deep learning
RNN-LSTM
Online Access:https://www.mdpi.com/1424-8220/23/4/1976

Internet

https://www.mdpi.com/1424-8220/23/4/1976

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