Insect Scouting Prediction For Crops Based On BP Neural Network

被引:0
|
作者
Wang Hongbin [1 ]
Zhang Liyi [1 ]
Wang Huakui [1 ]
机构
[1] XinZhou Teachers Univ, Dept Comp Sci, Xinzhou 034000, Shanxi, Peoples R China
关键词
Occurrence level of pests Prediction; Matlab neural network toolbox; BP neural network;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The main pests do serious harm to crops perennial and damage the agricultural economy. To predict the trends of pests in the future, the works to control the pests can be implemented designedly and purposefully Only when the prediction is betimes and accurately, people can draw out the colligated plan and take the effective measure to reduce the quantity of pests and ensure agricultural product fruitful. It's easy and effective to make BP network objects by using the Neural Network Toolbox (NNT) based on MATLAB to evaluate the predictive model. The test that use the data of historical occurrence level of pests in paddy of Lujiang County, Anhui province is done, the result shows the feasibility of the predictive model. So it's valuable and has a bright future.
引用
收藏
页码:1555 / 1558
页数:4
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