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灰色聚类分析在农作物病害预测预报中的应用
引用本文:南都国,于连波.灰色聚类分析在农作物病害预测预报中的应用[J].黑龙江八一农垦大学学报,1997,9(1):1-6.
作者姓名:南都国  于连波
作者单位:黑龙江八一农垦大学!密山,158308,黑龙江八一农垦大学!密山,158308,黑龙江八一农垦大学!密山,158308,黑龙江八一农垦大学!密山,158308
摘    要:本文运用灰色系统聚类分析理论与方法,对农作物病害发生程度的预测预报技术作了新的尝试。经对850农场大豆籽粒灰斑病12年历史资料拟合,符合率达91.67%,对1992处1993年灰斑病发生与流行程度的预测预报结果准确,这对农作物病害的预测预报提供了一种新的研究手段。

关 键 词:作物  病害  灰色聚类分析  预测预报

THE APPLICATION OF GREY CLUSTERING ANALYSIS FOR PREDICTING AND FORECASTING CROP DISEASES
Nan Duguo, Yu Lianbo, Xin Huipu et al..THE APPLICATION OF GREY CLUSTERING ANALYSIS FOR PREDICTING AND FORECASTING CROP DISEASES[J].Journal of Heilongjiang August First Land Reclamation University,1997,9(1):1-6.
Authors:Nan Duguo  Yu Lianbo  Xin Huipu
Institution:Nan Duguo; Yu Lianbo; Xin Huipu et al.
Abstract:In this paper. the grey system clustering analysis theory and method is applied to make new attempts to predict and forecast the occurence degree of the crop diseases. The accuracy of the new method reaches 91. 67% by analysis and estimation of the twelve-year data collected from the 850 State-Farm. The results of the predicting and forecasting the occurence and epidemic degree of the Cerospa Sojina in 1992 and 1993 are accurate. This will provide a new research method for predicting and forecasting crop diseases.
Keywords:grey system  clustering analysis  Crop diseases  Predicting and forecasting
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