摘要
运用聚类分析方法依据农业气候条件对三江平原地区进行分类,在此基础上,选取玉米、大豆、小麦三种作物产量的预报点,建立了作物产量的定性和定量预报模型,即年景趋势预报模型、逐步回归周期分量预报模型和多层递阶预报模型。统计检验和实际预报结果表明所得到的预报模型是有实际意义的。
The cluster analysis is used to zone agroclimatic in Sanjiang plain region, based on the zoning result representative forecasting sites were selected and model for qualitative and quantitative forecast of yields of corn, soybean and wheat were established, including the model of the year's harvest tendency, stepwise regression periodical component model and multilevel recursion forecasting model. Statistical test and forecasting result show that the models can give accurate forecast of the yield the three crops significantly.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
1999年第4期14-18,共5页
Transactions of the Chinese Society of Agricultural Engineering
关键词
粮食产量
预报模型
聚类分析
年景趋势
grain yield
yield forecasting model
cluster analysis
the year's harvest tendency