, China Water Resources Bulletin, 2016.

, National Bureau of Statistics of the People's Republic of China

M. Li and Z. Liu, Application of soil water balance model in soil moisture prediction

, Water Resources & Hydropower of Northeast China, vol.23, issue.246, pp.49-51, 2005.

S. Kang, F. Zhang, and Y. Liang, Research on the Forecast Method of Soil Water Dynamic Process in Corn-land

, Acta Ecologica Sinica, vol.17, issue.3, pp.245-251, 1997.

S. Pu, X. He, and C. He, Study on Soil Moisture Forecast Method Based on Exponential Depletion Relations for Cotton Drip Irrigation under Mulch in Xinjiang Autonomous Region

, Water-saving Irrigation, vol.8, pp.5-7, 2008.

D. Bai, M. Guo, and G. Zhongsheng, Application of time series autoregressive model in soil moisture prediction, vol.2, pp.42-46, 2014.

D. Zhang, Matlab neural network application design, 2012.

J. Lewin, A simple soil water simulation model for assessing the irrigation requirements of wheat

, Israel J Agric Res, vol.22, issue.4, pp.201-213, 1972.

C. Scott, W. Bastiaanssen, and A. M. , Mapping root zone soil moisture using remotely sensed optical imagery, J].Journal of Irrigatio nand Drainage Engineering, vol.129, issue.5, pp.326-335, 2003.

C. Notarnicola and M. Angiulli, Francesco Posa,etc. Soil Moisture Retrieval From Remotely Sensed Data: Neural Network Approach Versus Bayesian Method

, IEEE Transactions on Geoscience & Remote Sensing, vol.46, issue.2, pp.547-557, 2008.

A. Pandeya, S. K. Jhab, and J. K. Srivastavac, Artificial Neural Network for the Estimation of Soil Moisture and Surface Roughness1

, Russian Agricultural Sciences, vol.36, pp.428-432, 2010.

Y. Lung-then, Kok Yeow You,Mohamad Ngasri Dimon.A modified microstrip ring resonator sensor with lumped element modeling for soil moisture and dielectric preditions measurement

. Measuremen, , vol.94, pp.119-125, 2016.

J. E. Holland and A. Biswas, Predicting the mobile water content of vineyard soils in New South Wales

, Agricultural Water Management, vol.148, pp.34-42, 2015.

L. Jin, Y. Luo, and Q. Miu, Study of artificial neural network prediction model of soil moisture in farmland

A. Sinica, , vol.35, pp.25-32, 1998.

D. Hui, Z. Yue, and Z. Jun, Application of Support Vector Regression Machines in Soil Moisture Prediction Based on Bacteria Foraging Optimization Algorithm, Bulletin of Soil and Water Conservation, vol.36, pp.131-135, 2016.

S. Yang, Y. Wang, and Z. Guo, Study of ARIMA model on soil moisture content prediction

, Agricultural Research in the Arid Areas, vol.24, issue.2, pp.114-118, 2006.

C. Chen, J. Tan, and J. Yin, Prediction for soil moisture in tobacco fields based on PCA and RBF neural network, J]. Transactions of the CSAE, vol.26, issue.8, pp.85-90, 2010.

J. Ronghua, Z. Shulei, and Z. Lihua, Prediction of soil moisture based on multilayer neural network with multi-valued neurons, Transactions of the Chinese Society of Agricultural 19.Ji Ronghua

. Shulei, Short-term Prediction of Soil Moisture in Field Based on GM(1,1)Model Group, Transactions of The Chinese Society of Agricultural Machinery, vol.47, pp.401-407, 2016.

M. Aboitiz and J. W. Labadie, Stochastic Soil Moisture Estimation and Forecasting for Irrigated Fields

, Water Resoures Research, vol.22, pp.180-190, 1986.

A. Weimann, M. V. Schonermark, and A. Schumann, Soil moisture estimation with ERS-1 SAR data in the East-German loess soil area, International Journal of Remote Sensing, vol.19, issue.2, pp.237-243, 1998.

. St, N. Elmaloglou, and . Malamos, Simulation of soil moisture content of a prairie field with SWAP93

, Agricultural Water Management, vol.43, pp.139-149, 2000.

J. Sulebak, L. Tallaksen, and E. , Estimation of a real soil moisture by use of terrain data

G. Ann, , vol.82, pp.89-105, 2000.

Y. Yamaguchi and M. Shinoda, Soil Moisture Modeling Based on Multiyear Observations in the Sahel, J].Journal Of Applied Meteorology, vol.41, pp.1140-1146, 2002.

H. Jiang and W. R. Cotton, Soil moisture estimation using an artificial neural network: a feasibility study

, Canadian Journal of Remote Sensing, vol.30, issue.5, pp.827-839, 2004.

K. Amin-elshorbagy, On the relevance of using artificial neural networks for estimating soil moisture content

, Journal of arid Land, vol.362, pp.1-18, 2008.

B. Cafarelli, D. D. Annamariacastrignanò, and . Benedetto, A linear mixed effect (LME) model for soil water content estimation based on geophysical sensing: a comparison of an LME model and kriging with external drift

, Environmental Earth Sciences, vol.73, pp.1951-1960, 2015.

M. Chen, G. R. Willgoose, and P. M. Saco, Spatial prediction of temporal soil moisture dynamics using HYDRUS-1D

, Hydrological Processes, vol.28, pp.171-185, 2014.

H. Liu, W. Wu, and C. Wei, Study of Soil Water Forecast with Neural Network, Journal of Soil and Water Conservation, vol.17, issue.5, pp.59-62, 2003.

A. Li, W. Yang, and J. Lu, Spatial analysis methods and application of regional soil moisture

, ChineseAgricultural Science Bulletin, vol.28, issue.21, pp.311-316, 2012.

Z. Xiaoyue and L. Rongping?jiao-min, Research and development of soil moisture monitoring and forecasting system in farmland, Transactions of the Chinese Society of Agricultural Engineering, vol.32, issue.18, pp.140-146, 2016.

W. Sheng, F. Zhiyong, and C. Hongsong, Using Gene-Expression Programming method and geographical location information to simulate evapotranspiration in Hunan and Hubei Provinces

, Chinese Journal of Eco-Agriculture, vol.23, issue.4, pp.490-496, 2015.