Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2013.1509.1513YuwenSun MingxiaShen MingzhouLu YingjunXiong LongshenLiu 92013139Soil moisture sensors used in the actual farm monitoring have
nonlinear errors. In order to improve measuring accuracy, BP neural network
method was used to correct the nonlinear error of FDR soil moisture sensor nodes
and least squares fitting method for comparative analysis. The experimental
results show that the BP neural network method has strong search capability,
high precision, the average error range can be reduced within 1.9%, better meet
the needs of agricultural monitoring.]]>Sun, D., W. Wang and S. Jiang,2012286064Jiang, Z.H., C.J. Tan and X.Q. Zhi,2013327982Zhou, S.H.,2002514Cai, B.,200415961Ni, X.Y., D.H. Wang and H.J. Zhang,2008272224Liu, T. and H. Wang,2011255660Xie, Y., S. Yang and X. Li,200728923927Kizito, F., C.S. Campbell, G.S. Campbell, D.R. Cobos, B.L. Teare, B. Carter and J.W. Hopmans,2008352367378Lu, G.H., Z.Z. Li, B.X. Zhao, X.Y. Zhao and Z.G. Xiao,2008263337Zhang, R., G. Yu, L. Zhang, L. Jun and Z. Yecheng,201041178182Gao, L., B. Shi, C.S. Tang, B.J. Wang, K. Gu and Y.K. Gan,201032964969Longjun, Z. and F. Junyan,201293236Zhu, C., S. Tong and J. Hu,20127207210