Studies on Agricultural Development Based on Optimized Combination Forecasting and Markov Model

DOI

10.2991/jimec-18.2018.4How to use a DOI?

Keywords

grey system forecasting; regression forecasting; optimized combination forecasting; Markov model

Abstract

Taking Shunde District, China as an example, we analyze the development of agriculture using the optimal combination of the grey system forecasting model, linear regression model, and polynomial regression model. The results show that the optimized combination forecasting model has feasibility and practicability, and has practical significance for the research on agricultural development. And then, we use the Markov model to further study the structure of the production value of agriculture. And the results show that the model effectively predicts the development of the structure of the production value of agriculture. Based upon the above studies and our records of field interviews in Beijiao Town, Shunde District, we explore the bottlenecks in the process of agricultural development in Shunde District, and propose scientific and practical suggestions.

Copyright

© 2019, 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  - Zhang Yuting
PY  - 2018/12
DA  - 2018/12
TI  - Studies on Agricultural Development Based on Optimized Combination Forecasting and Markov Model
BT  - Proceedings of the 2018 3rd Joint International Information Technology，Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 17
EP  - 22
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.4
DO  - 10.2991/jimec-18.2018.4
ID  - Yuting2018/12
ER  -