Research on Rice Yield Forecasting Model

DOI

10.2991/amms-17.2017.26How to use a DOI?

Keywords

meteorological factor; rice yield forecasting model; correlation analysis;multiple stepwise regressions

Abstract

The meteorological factors play an important role in rice yield. In this paper, according to the current agricultural meteorological factors on the impact of agricultural production, an the rice yield prediction model was established by using multiple stepwise regression analysis.The experimental results show that the average forecast accuracy is more than 98%,and the prediction result is consistent with the trend of the measured results, and the prediction results are credible.

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/).

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TY  - CONF
AU  - Kui Fang
AU  - Qingshan Ren
AU  - Xiangmei Feng
AU  - Xinghui Zhu
PY  - 2017/11
DA  - 2017/11
TI  - Research on Rice Yield Forecasting Model
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.26
DO  - 10.2991/amms-17.2017.26
ID  - Fang2017/11
ER  -