Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM

Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM

In order to create an irrigation scheduling plan for use in large-area citrus orchards, an environmental information collection system of citrus orchards was established based on the Internet of Things (IoT). With the environmental information data, deep bidirectional long short-term memory (Bid-LST...

Full description

Bibliographic Details
Main Authors: Peng Gao, Jiaxing Xie, Mingxin Yang, Ping Zhou, Wenbin Chen, Gaotian Liang, Yufeng Chen, Xiongzhe Han, Weixing Wang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Agriculture
Subjects:
Internet of Things
bidirectional LSTM
soil moisture and soil electrical conductivity prediction
MLNN
wireless sensor network
citrus
Online Access:https://www.mdpi.com/2077-0472/11/7/635

Internet

https://www.mdpi.com/2077-0472/11/7/635

Similar Items