African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6902

Full Length Research Paper

The Production and prediction of major chinese agricultural fruits using an econometric analysis and machine learning technique

Abdul Rehman
  • Abdul Rehman
  • Research Center of Agricultural-Rural-Peasants, Anhui University Hefei, China.
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Zhang Deyuan
  • Zhang Deyuan
  • Research Center of Agricultural-Rural-Peasants, Anhui University Hefei, China.
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Luan Jingdong
  • Luan Jingdong
  • College of Economics and Management, Anhui Agricultural University Hefei, China.
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  •  Received: 26 August 2018
  •  Accepted: 19 September 2018
  •  Published: 04 October 2018

How to cite this article

APA /
Rehman, A., Deyuan, Z., & Jingdong, L. (2018). The Production and prediction of major chinese agricultural fruits using an econometric analysis and machine learning technique. African Journal of Agricultural Research, 13(40), 2134-2145.
Chicago /
Abdul Rehman, Zhang Deyuan and Luan Jingdong  . "The Production and prediction of major chinese agricultural fruits using an econometric analysis and machine learning technique." African Journal of Agricultural Research 13, no. 40 (2018): 2134-2145.
MLA /
Abdul Rehman, Zhang Deyuan and Luan Jingdong  . "The Production and prediction of major chinese agricultural fruits using an econometric analysis and machine learning technique." African Journal of Agricultural Research 13.40 (2018): 2134-2145.
DOI /
https://doi.org/10.5897/AJAR2018.13491
URL /
https://academicjournals.org/journal/AJAR/article-abstract/1400BD758721

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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