Insect Scouting Prediction For Crops Based On BP Neural Network
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. Its 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 its valuable and has a bright future.
Occurrence level of pests Prediction Matlab neural network toolboz BP neural network
WANG Hongbin ZHANG Liyi WANG Huakui
Department of Computer Science, XinZhou Teachers University, XinZhou, Shanxi, China, 034000 College of Information Engineering, TianJin University of Commerce, TianJin, China, 300134 College of Information Engineering, TaiYuan University of Technology, TaiYuan, Shanxi, China, 030024
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
1555-1558
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）