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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 9 | Page No.: 1509-1513
DOI: 10.3923/jas.2013.1509.1513
 
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Compensation Design of FDR Soil Humidity Node Based on BP Neural Network
Sun Yuwen, Shen Mingxia, Lu Mingzhou, Xiong Yingjun and Liu Longshen

Abstract:
Soil 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.
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How to cite this article:

Sun Yuwen, Shen Mingxia, Lu Mingzhou, Xiong Yingjun and Liu Longshen, 2013. Compensation Design of FDR Soil Humidity Node Based on BP Neural Network. Journal of Applied Sciences, 13: 1509-1513.

DOI: 10.3923/jas.2013.1509.1513

URL: https://scialert.net/abstract/?doi=jas.2013.1509.1513

 
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