Field Data Forecasting Using LSTM and Bi-LSTM Approaches

Field Data Forecasting Using LSTM and Bi-LSTM Approaches

Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world’s population growth. Proper irrigation scheduling has been shown to help farmers improve crop yield and quality, resulting in more sustainable water consumption. Soi...

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Bibliographic Details
Main Authors:	Paweena Suebsombut, Aicha Sekhari, Pradorn Sureephong, Abdelhak Belhi, Abdelaziz Bouras
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	soil moisture smart irrigation machine learning deep learning LSTM bidirectional LSTM
Online Access:	https://www.mdpi.com/2076-3417/11/24/11820

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