灰色关联度分析在云南小春作物产量预报中的应用  

Application of grey relational analysis in yield forecast of spring crop in Yunnan Province

作　　者：顾本文[1] 吉文娟[1] 

机构地区：[1]云南省农业气象与卫星遥感应用中心,云南昆明650034

出　　处：《干旱地区农业研究》2006年第3期45-48,共4页Agricultural Research in the Arid Areas

摘　　要：将灰色关联度分析法与相关分析法分别应用于云南小春作物产量预报因子的筛选,并将用两种方法选出的因子用于2004年的产量预报。对比其预报结果:灰色关联度分析法筛选出的气象因子,更能体现其生物学意义;可以通过计算灰色关联度来找到主要因子、剔除次要因子,以抓住主要矛盾,减少计算量。We filtrate forecast factors of spring crop yield in Yunnan Province using grey relational analysis and correlation analysis. The filtrated factors are used for yield forecast of 2004. Through comparative analysis we can educe conclusion： using the method of grey relational analysis, the meteorological factors can incarnate biological meaning more profitably; we can find out major factors in a system, eliminate minor factors, and grasp the principal contradiction to decrease computational complexity.

关 键 词：灰色关联度 小春作物 产量预报 云南 

分 类 号：S162.5[农业科学—农业气象学]