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
Published in:	Sensors
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
Subjects:	smart farming time series analysis soil moisture deep learning RNN-LSTM
Online Access:	https://www.mdpi.com/1424-8220/23/4/1976

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