Application of Combined Grey Model in Maize Yield Prediction

DOI

10.2991/emcs-17.2017.227How to use a DOI?

Keywords

Corn yield; Combination; Grey model; Prediction

Abstract

The yield of maize is the most concerned about the development of agriculture, ecological safety, ensure corn green, agricultural science and technology personnel responsibility, along with the population growth and economic development, to ensure the safety of the task will be more important to corn. The changes of maize production in Jilin province fluctuations, not single gray model describing the change rule and forecast the future trend prediction model of grey linear regression response equation and the composition of the sequence by using the linear regression equation and time obtained by the grey model, to make up for the lack of growth factors and trend index no linear grey model in linear regression model. The example shows that the prediction accuracy of the model is high.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yu Ji
AU  - Liying Cao
AU  - Yuqi Wang
AU  - Guifen Chen
PY  - 2017/03
DA  - 2017/03
TI  - Application of Combined Grey Model in Maize Yield Prediction
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1184
EP  - 1187
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.227
DO  - 10.2991/emcs-17.2017.227
ID  - Ji2017/03
ER  -