HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (5): 101-103.doi: 10.14088/j.cnki.issn0439-8114.2019.05.024

• Information Engineering • Previous Articles     Next Articles

Predictions of corn product in Rizhao

LI Chang-jun1, LI Xiu-zhen2, SHI Jun2, GE Qian2, ZHU Xiu-hong3   

  1. 1.Shandong Province Meteorological Information Center,Jinan 250001,China;
    2.School of Science,Shandong Jianzhu University,Jinan 250101,China;
    3.Shandong ProvinceWulian County Meteorological Bureau,Wulian 262300,Shandong,China
  • Received:2018-10-12 Online:2019-03-10 Published:2019-12-03

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Abstract: Based on the corn yield data and related meteorological data of Rizhao City,the prediction model of corn yield was constructed by stepwise regression and grey theory. Using MATLAB software to establish a multivariate linear regression equation,the equation is predicted by the significant level of 0.05, the predicted yield error of 1998-2008 is 0.5%~3.6%,and the prediction accuracy is high; using gray system theory, GM（1,N） The grey prediction model is improved. The predicted output error range from 1994 to 2006 is 1.4%~16.6%,and the predicted accuracy is about 90%. The effect is better.

Key words: maize yield, multiple linear regression, GM model, Rizhao city

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