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稻飞虱预报方法研究
引用本文:何树林,向卫国.稻飞虱预报方法研究[J].西南农业大学学报,1996,18(6):583-587.
作者姓名:何树林  向卫国
作者单位:[1]四川省农科院植保所 [2]成都气象学院
摘    要:对四川省稻飞虱常发区的灯下,田间稻飞虱资料及4-6月各旬的温度,降水量,相对湿度等因子,用神经网络的Back Propagation算法进行分析,并对发生程度试报,效果较好。

关 键 词:飞虱科  神经网络  预测  水稻  BP算法  稻飞虱

A STUDY ON THE FORECAST METHODS FOR RICE PLANTHOPPER
He Shulin, He Ming.A STUDY ON THE FORECAST METHODS FOR RICE PLANTHOPPER[J].Journal of Southwest Agricultural University,1996,18(6):583-587.
Authors:He Shulin  He Ming
Abstract:The Back Propagation algorithm of the neural network was used to analyse the data of field occurrence of rice planthoppers, the temperature difference in early, middle and late April, May and June, precipitation and relative humidity in the infested areas of Sichuan province. Based on such an analysis, a trial forecast was made of the occurrence of the pest and gave relatively satisfactory result.
Keywords:planthopper  neural networks  Back Propagation algorithm  forecasting  paddy  
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