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
- 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.
- 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/).
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 - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) PB - Atlantis Press SP - 812 EP - 815 SN - 1951-6851 UR - https://doi.org/10.2991/mcei-16.2016.169 DO - 10.2991/mcei-16.2016.169 ID - Zhao2016/12 ER -