|Table of Contents|

Prediction on Grain Yield in Jiangsu Province Based on MultivariateLinear Regression Model and Gray Relational Analysis(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年04期
Page:
105-
Research Field:
地理学
Publishing date:

Info

Title:
Prediction on Grain Yield in Jiangsu Province Based on MultivariateLinear Regression Model and Gray Relational Analysis
Author(s):
Wang Chunhui; Zhou Shenglu; Wu Shaohua; Wu Yingying
School of Geographic and Oceanographic Science,Nanjing University,Nanjing 210046,China
Keywords:
gray relational analysis; multivariate linear regression; prediction on grain yield; Jiangsu province
PACS:
F302.5
DOI:
-
Abstract:
According to the situation of grain yield fluctuation in Jiangsu province in recent years,gray relational model analysis was used in the grain yield of Jiangsu province from 2000～2009.The results show that the area of seed sown,amount of chemical fertilizer,annual temperature,annual precipitation and amount of pesticide are the primary factors of grain yield fluctuation.Then multivariate linear regression equation was established on the basis of gray relational analysis to predict and verify on the grain yield in Jiangsu province from 2010～2012,and the result indicated that the predictive effect was excellent.Finally,some relevant suggestions are proposed on the basis of these problems.

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Last Update: 2014-12-31