苏州科技学院学报（自然科学版）2016，Vol.33Issue(2)：14-18,29,6.
基于气象因子的碧螺春茶年产量预测模型
The annual output forecast model of Biluochun tea based on meteorological factor analysis
摘要
Abstract
In the paper, we studied the relationship between the output of Biluochun tea and the meteorological factors by using climate data in the growing period of Biluochun tea. Based on the data from 2008 to 2013, we obtained 20 factors and formed a 6 ×20 matrix. Through the correlation analysis and stepwise regression analysis of the matrix, we established the relationship regression model between meteorological factors and Biluochun tea output. This model shows that the first three most influential factors to tea yield among the 20 factors in the growing period are the daily average sunshine duration time in mid-February, the daily average highest tempera-ture in the last ten days of February and the daily average minimum temperature in the first ten days of March. This model can be used for the production forecast of Biluochun tea.关键词
碧螺春/气象因子/逐步回归/预测模型Key words
Biluochun/climatic factors/stepwise regression/forecast model分类
数理科学引用本文复制引用
王明月,徐常青,韩敏,李贤..基于气象因子的碧螺春茶年产量预测模型[J].苏州科技学院学报（自然科学版）,2016,33(2):14-18,29,6.基金项目
国家自然科学基金重大项目（61190114/F0102）；国家自然科学基金资助项目 （）
