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灰色聚类分析在农作物病害预测预报中的应用 被引量:6

THE APPLICATION OF GREY CLUSTERING ANALYSIS FOR PREDICTING AND FORECASTING CROP DISEASES
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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和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. 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.
出处 《黑龙江八一农垦大学学报》 1997年第1期1-6,共6页 journal of heilongjiang bayi agricultural university
关键词 农作物病害 灰色聚类分析 预测预报 grey system clustering analysis Crop diseases Predicting and forecasting
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