Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

The Time Variation of the Maize Yield in Precise Operation Section

Authors
Yueling Zhao, Haiyan Han, Liying Cao, Guifen Chen
Corresponding Author
Yueling Zhao
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.169How to use a DOI?
Keywords
Time variation; Maize yield; Precise operation section; Prediction model
Abstract
In this paper, a variety of curve estimation method is used to predict the time series characteristics of Maize Yield in more than 20 years, and it is found that each prediction method has its applicable conditions and applicable scope. Comparison of the parameters of the estimated parameters of the four kinds of curves found that the effect of the three curve estimation is optimal, so the function of the three Cubic is more appropriate to observe the value of the fitting. If the ARIMA model is used to predict the yield of maize, the AIC (2, 1, 1) (ARIMA) has achieved good results in the study. The conclusions can provide some guidance and practical significance for the current and even future production management decision.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.169How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yueling Zhao
AU  - Haiyan Han
AU  - Liying Cao
AU  - Guifen Chen
PY  - 2016/12
DA  - 2016/12
TI  - The Time Variation of the Maize Yield in Precise Operation Section
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.169
DO  - https://doi.org/10.2991/mcei-16.2016.169
ID  - Zhao2016/12
ER  -