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Comparison Between the Production of Hibiscus in Kordofan States Using Matlab

Received: 23 January 2019     Accepted: 4 March 2019     Published: 18 April 2019
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Abstract

Hibiscus (Karkadi) contains plant acids such as malic, chemical and that indicates its high importance for humans. Many industries depend on Karkadi in most of the areas in Sudan due to its economic and medical benefits . In this study the statistical data of Hibiscus will be analyzed using Matlab. This study aims to compare and analyze the data of Hibiscus production in North Korodfan state, west Korodfan state and south Korodfan state in period 2006 to 2016 and if planted areas and harvested areas affect production or not. The applying mathematical method was followed using Matlab and found it is more accurate because the data is converges with the analysis, and arrived to relation between production, planted areas and harvested areas . All this data passed through code that designed by Matlab program for analysis and counting data in the analysis obtained bar graph for all data for each state. And counting production for select state of hibiscus production (high, low and non-exist). A new algorithm is designed based on the type of data and compared results with each year in one state, Matlab functions results showed excellent efficiency with 95% accuracy for analysis, counting and classification.

Published in Pure and Applied Mathematics Journal (Volume 8, Issue 1)
DOI 10.11648/j.pamj.20190801.12
Page(s) 10-17
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Production, Hibiscus, Matlab

References
[1] Abdelatif Ahmed, Bahaeldeen Babiker, Rosell (HibicusSabdariffaL) in Sudan, NCR, Sudan, 2009.
[2] Andrew knight, Basics of Matlab and Beyond, CRC Press LLC, London, 2000.
[3] Brian R. Hunt, Jonathanm. Rosen berg, Ronald L. Lipsman, Aguide to Matlab for Beginners and Experienced users, John. wiley and sons, INC, New york, 2004.
[4] David Halpering, Howard B. Wilson, Louis H. Turcotte, advanced mathematics and Mechanics Application Using Matlab, Third Edition, Chapman & HALL/ CRC/ London, 2003.
[5] David Houcque, Introduction to Matlab for Engineering Students, North Western University, 2005.
[6] David McMahon, Matlab Demystified, Mc GrowHillg, Chicago, 2007.
[7] Dr. Guma Kundg Komey, Maria Hahnekamp, Hibiscus production and Market chanisin Um Ruwaba and El-Rahad, North kordofan, University Jub, University of Halle, Sudan , Germany, 2010.
[8] Dr. SikanderM. Mirza, Introduction to Matlab, PIEAS, 2003.
[9] JOHNO. ATTIA, Electronics and Circuit Analysis using Matlab, CRC, Boca, Raton, 1999.
[10] Kermit Sinmon, Timothy A. Davis, Matbal Primer, Sixth Edition, ACRC Press Company, Washington, 2002.
[11] Kermit Sinmon, Timothy A. Davis, Matbal Primer, Seventh Edition, ACRC Press Company, New York, 2005.
[12] Kermit Sinmon, Timothy A. Davis, Matbal Primer, Eighth Edition, ACRC Press Company, London, 2011.
[13] O. ThomasHoLL and Patrick Marchand, Graphics and Guis with Matlab, Third Edition CHAPMAN & HALL/CRC, New York, 2003.
[14] Stormy Attaway, Matlab A practical Introduction to Programming and Problems Solving, Elsevier, Tokyo, 2009.
[15] The Mathworks, Getting Starting with Matlab, TheMathworks, Ink, 2001.
[16] Wendy L. Martinez, Computation Statistics Hand Book with Matlab, Chapman & Hall /CRC, Washington, 2002.
[17] Agricultural Research Station while North Kordofan, Second, 2010.
[18] Ministry of Agricultural statistics, 2016-2017.
[19] http://cimss.ssec.wisc.edu/wxwise/class/aos340/spr00/whatismatlab.htm.
Cite This Article
  • APA Style

    Abdel Radi Abdel Rahman Abdel Gadi, Ragaa Mohammed Haj Ebrahim, Nedal Hassan Elbadowi Eljaneid. (2019). Comparison Between the Production of Hibiscus in Kordofan States Using Matlab. Pure and Applied Mathematics Journal, 8(1), 10-17. https://doi.org/10.11648/j.pamj.20190801.12

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    ACS Style

    Abdel Radi Abdel Rahman Abdel Gadi; Ragaa Mohammed Haj Ebrahim; Nedal Hassan Elbadowi Eljaneid. Comparison Between the Production of Hibiscus in Kordofan States Using Matlab. Pure Appl. Math. J. 2019, 8(1), 10-17. doi: 10.11648/j.pamj.20190801.12

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    AMA Style

    Abdel Radi Abdel Rahman Abdel Gadi, Ragaa Mohammed Haj Ebrahim, Nedal Hassan Elbadowi Eljaneid. Comparison Between the Production of Hibiscus in Kordofan States Using Matlab. Pure Appl Math J. 2019;8(1):10-17. doi: 10.11648/j.pamj.20190801.12

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  • @article{10.11648/j.pamj.20190801.12,
      author = {Abdel Radi Abdel Rahman Abdel Gadi and Ragaa Mohammed Haj Ebrahim and Nedal Hassan Elbadowi Eljaneid},
      title = {Comparison Between the Production of Hibiscus in Kordofan States Using Matlab},
      journal = {Pure and Applied Mathematics Journal},
      volume = {8},
      number = {1},
      pages = {10-17},
      doi = {10.11648/j.pamj.20190801.12},
      url = {https://doi.org/10.11648/j.pamj.20190801.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pamj.20190801.12},
      abstract = {Hibiscus (Karkadi) contains plant acids such as malic, chemical and that indicates its high importance for humans. Many industries depend on Karkadi in most of the areas in Sudan due to its economic and medical benefits . In this study the statistical data of Hibiscus will be analyzed using Matlab. This study aims to compare and analyze the data of Hibiscus production in North Korodfan state, west Korodfan state and south Korodfan state in period 2006 to 2016 and if planted areas and harvested areas affect production or not. The applying mathematical method was followed using Matlab and found it is more accurate because the data is converges with the analysis, and arrived to relation between production, planted areas and harvested areas . All this data passed through code that designed by Matlab program for analysis and counting data in the analysis obtained bar graph for all data for each state. And counting production for select state of hibiscus production (high, low and non-exist). A new algorithm is designed based on the type of data and compared results with each year in one state, Matlab functions results showed excellent efficiency with 95% accuracy for analysis, counting and classification.},
     year = {2019}
    }
    

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    T1  - Comparison Between the Production of Hibiscus in Kordofan States Using Matlab
    AU  - Abdel Radi Abdel Rahman Abdel Gadi
    AU  - Ragaa Mohammed Haj Ebrahim
    AU  - Nedal Hassan Elbadowi Eljaneid
    Y1  - 2019/04/18
    PY  - 2019
    N1  - https://doi.org/10.11648/j.pamj.20190801.12
    DO  - 10.11648/j.pamj.20190801.12
    T2  - Pure and Applied Mathematics Journal
    JF  - Pure and Applied Mathematics Journal
    JO  - Pure and Applied Mathematics Journal
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    EP  - 17
    PB  - Science Publishing Group
    SN  - 2326-9812
    UR  - https://doi.org/10.11648/j.pamj.20190801.12
    AB  - Hibiscus (Karkadi) contains plant acids such as malic, chemical and that indicates its high importance for humans. Many industries depend on Karkadi in most of the areas in Sudan due to its economic and medical benefits . In this study the statistical data of Hibiscus will be analyzed using Matlab. This study aims to compare and analyze the data of Hibiscus production in North Korodfan state, west Korodfan state and south Korodfan state in period 2006 to 2016 and if planted areas and harvested areas affect production or not. The applying mathematical method was followed using Matlab and found it is more accurate because the data is converges with the analysis, and arrived to relation between production, planted areas and harvested areas . All this data passed through code that designed by Matlab program for analysis and counting data in the analysis obtained bar graph for all data for each state. And counting production for select state of hibiscus production (high, low and non-exist). A new algorithm is designed based on the type of data and compared results with each year in one state, Matlab functions results showed excellent efficiency with 95% accuracy for analysis, counting and classification.
    VL  - 8
    IS  - 1
    ER  - 

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Author Information
  • Department of Mathematics, Faculty of Education, Omdurman Islamic University, Omdurman, Sudan

  • Department of Mathematics, Faculty of Education, Alzaiem Al Azhary University, Khartoum, Sudan

  • Department of Mathematics, College of Science, Tabuk University, Tabuk, Saudi Arabia

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