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用逐步判别分析模型预测农业害虫发生程度
引用本文:丁世飞,李述山.用逐步判别分析模型预测农业害虫发生程度[J].山东农业大学学报(自然科学版),1999,30(2):161-166.
作者姓名:丁世飞  李述山
作者单位:山东农业大学基础部,山东矿业学院数学系,山东农业大学基础部,泰安市信托投资公司
摘    要:本文应用逐步判别分析模型对第一代小地老虎为害程度进行了研究。结果表明:历史符合率达913%,将1990年作为独立样本进行试报,预测结果与实测相符,为农业害虫发生程度的预测预报提供了一种新的研究方法。

关 键 词:小地老虎  逐步判别分析模型  预测预报

THE APPLICATION OF THE PROGRESSIVELYDISCRIMINATORY ANALYSIS MODELS TO FORECASTINGTHE DEGREE OF OCCURRENCE OF AGRICULTURAL INSECTS
Ding Shifei et,al..THE APPLICATION OF THE PROGRESSIVELYDISCRIMINATORY ANALYSIS MODELS TO FORECASTINGTHE DEGREE OF OCCURRENCE OF AGRICULTURAL INSECTS[J].Journal of Shandong Agricultural University,1999,30(2):161-166.
Authors:Ding Shifei et  al
Abstract:From the application of the progressively discriminatory analysis models, the authors deduce 4 discriminatory equations to forecast the damage level of the first generation of Agrotis ypsilon (Rottemberg). The results of the pest data tested show that the fitting rate was 91.3%, and that the forecast conformed to the occurance of pest for 1990. This new method may also be tried for the forecasting of other population dynamics of insect pests.
Keywords:Agrotis    ypsilon (Rottemberg)  progressively discriminatory analysis model  forecastAuthor
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