A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

Advance knowledge of soil water content (SWC) in the soil wetting layer of crop irrigation can help develop more reasonable irrigation plans and improve the efficiency of agricultural irrigation water use. To improve the accuracy of predicting SWC at multiple depths, the ResBiLSTM model was proposed...

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Bibliographic Details
Main Authors: Jingxin Yu, Song Tang, Lili Zhangzhong, Wengang Zheng, Long Wang, Alexander Wong, Linlin Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
ResNet
BiLSTM
soil water content
growth stage
summer maize
Online Access:https://ieeexplore.ieee.org/document/9245592/

Internet

https://ieeexplore.ieee.org/document/9245592/

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