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一种BP网络的土壤电导率数据融合算法研究
引用本文:冯敏敏,朱培逸.一种BP网络的土壤电导率数据融合算法研究[J].常熟理工学院学报,2009,23(10):93-95.
作者姓名:冯敏敏  朱培逸
作者单位:常熟理工学院,电气与自动化工程学院,江苏,常熟,215500
摘    要:根据各个传感器测量的农田土壤信息,设计一种基于BP神经网络的融合算法,建立合理的数据融合模型,仿真得到农田的精确信息,有针对性的投放农业生产资料,精确控制投放,以更好地实现耕地资源的合理高效利用和农业的现代化精准管理.

关 键 词:BP神经网络  多传感器  土壤信息  数据融合

Research on Soil Electrical Conductivity Data Fusion Based on BP Neural Network
FENG Min-min,ZHU Pei-yi.Research on Soil Electrical Conductivity Data Fusion Based on BP Neural Network[J].Journal of Changshu Institute of Technology,2009,23(10):93-95.
Authors:FENG Min-min  ZHU Pei-yi
Institution:(School of Electrical and Automation Engineering, Changshu Institute of Technology, Changshu 215500, China)
Abstract:As a fairly new discipline, Neural Network has been one of the soundest areas among the application of Neural Network theory. Data Fusion, which is on frontiers of the discipline integrating traditional subjects with emerging domain engineering, has been extensively applied in many other felids. The paper mainly establishes a scientific model of data fusion with the application of BP Neural Network related fusion algorithm, and obtains accurate farmland soil information in a emulation mode, based on the results from various sensors. The information aims to invest cultivated land resources efficiently and accurately so as to achieve the highest and best uses of the land resources and the precision management of agriculture modernization.
Keywords:BP Neural Network  multi-sensor  soil information  data fusion
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