E3S Web Conf.
Volume 81, 2019The 1st International Symposium on Water Resource and Environmental Management (WREM 2018)
|Number of page(s)||5|
|Published online||30 January 2019|
A model for soil moisture dynamics estimation based on artificial neural network
State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China ;
2 Xiaolangdi Project Construction & Management Center, Ministry of Water Resources, Zhengzhou 450000, China ;
3 Henan Institute of Science and Technology, Xinxiang 453600, China
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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