A model for soil moisture dynamics estimation based on artificial neural network

被引：0
|
作者：
Wang, Wei [1 ,2 ]
Wang, Shuya [3 ]
Chang, Jianxia [1 ]
Bai, Dan [1 ]
机构：
[1] Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Sch Water Resources & Hydroelect Engn, Xian 710048, Shaanxi, Peoples R China
[2] Minist Water Resources, Xiaolangdi Project Construct & Management Ctr, Zhengzhou 450000, Henan, Peoples R China
[3] Henan Inst Sci & Technol, Xinxiang 453600, Henan, Peoples R China
来源：
1ST INTERNATIONAL SYMPOSIUM ON WATER RESOURCE AND ENVIRONMENTAL MANAGEMENT (WREM 2018) | 2019年 / 81卷
关键词：
D O I：
10.1051/e3sconf/20198101017
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Research on soil moisture estimation models can effectively improve the growth environment of crops. In this paper, the author studied the artificial neural network and variation pattern of soil moisture. Then, application of the model for water diversion estimation was explored based on artificial neural network. On this basis, an optimization algorithm was presented to simulate water diversion. Furthermore, a model for remote sensing of soil moisture dynamics was applied to artificial neural network. It has been proven that the research can optimize the application of the proposed model, laying a solid foundation for future study.
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页数：5
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