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.
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.
出处
《常熟理工学院学报》
2009年第10期93-95,共3页
Journal of Changshu Institute of Technology
