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Mechanization and Agricultural Productivity Functions in Umuahia North LGA, Abia, Nigeria

Received: 18 July 2015    Accepted: 20 July 2015    Published: 27 August 2015
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Abstract

Index of mechanization and other productivity functions were used as indicators in assessing the impact of mechanization on agricultural production in Umuahia North LGA of Abia state, Nigeria. Analysis of research findings revealed that farmers in the area are predominantly small scale farmers with the major power source being human being. The level of agricultural mechanization was determined by a relationship between the various sources of farm power and the level of human involvement in each operation while the mechanization index was determined for the two identified sources of farm power; human and mechanical. Low level of mechanical power input, underutilization of available mechanical power and reliability on human power in most of these areas contributed to low production efficiency, low level of mechanization (37.12%) and high MI average of 96.59%.

Published in Science Journal of Business and Management (Volume 3, Issue 5-1)

This article belongs to the Special Issue Sustainable Entrepreneurial Developments in Agribusiness

DOI 10.11648/j.sjbm.s.2015030501.15
Page(s) 21-25
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), 2024. Published by Science Publishing Group

Keywords

Mechanization Index, Utilization, Production, Mechanical, Power

References
[1] Almasi, M., Kiyani, SH., & Lavaimi, N., 2005.Principles of Agricultural Mechanization. Iran: Hazrate Maesomeh Pub.
[2] Anazodo, U. G. N. 1985.A study of Traditional and Mechanized Systems for Maize Production in Nigeria. A M A. 15(3): 51-55.
[3] Aragón-Ramírez, A., A. Oida, H. Nakashima, J. Miyasaka, and K. Ohdoi. 2007. “Mechanization Index and Machinery Energy Ratio Assessment by means of an Artificial Neural Network: a Mexican Case Study”. Agricultural Engineering International: the CIGR EJournal. Manuscript PM 07 002. Vol. IX. May, 2007. 21pp.
[4] Bello R. S., 2012: Agricultural Machinery & Mechanization. Pub by Createspace 7290 B. Inv. Drive Charl US. ISBN-13: 978-145-632-876-4. https://www.createspace.com/3497673
[5] Busha, C. H. and Harter, S. P., 1980.Research methods in librarianship: techniques and interpretation. San Diego: Academic press, 53.
[6] Fadavi Raheleh, Alireza Keyhani & Seyed Saeid Mohtasebi, 2010. Estimation of a Mechanization Index in Apple Orchard in Iran Journal of Agricultural Science Vol. 2, No. 4; December 2010 ISSN 1916-9752 E-ISSN 1916-9760 www.ccsenet.org/jas
[7] FAO, 1981. Agricultural Mechanization in Development; Guidelines for Survey Formulae FAO Agricultural Services Bulletin 45-77; Food and Agricultural Organization, Rome.
[8] Gittinger, J. P. 1982. Economic Analysis of Agricultural Projects; the Economic Development Institute; International Bank for Reconstruction and Development Johns Hopkins. University Press, Baltimore.
[9] Gomez, K. A and Gomez, A. A., 1984. Statistical procedures for Agricultural research.2nd edition. John Wiley & Sons, New York.
[10] Jhingan, M.L. 1997. Advance Economic Theory (Micro and Macro Economic). Macmillan Publisher, USA.
[11] Mrema, G. C., and E. U. Odibgoh. 1993. Agricultural Development and Mechanization in Africa; Policy Perspectives Network for Agricultural Mechanization in Africa NAMA Newsletter. 1(3): 11-50.
[12] Odigboh, E. U. 1991. Continuing Controversies on Tillage Mechanization in Nigeria. Journal of Agricultural Science Technology. 1 (1): 41-49.
[13] Olaoye J. O. and A. O. Rotimi. 2010. “Measurement of Agricultural Mechanization Index and Analysis of Agricultural Productivity of some Farm Settlements in South West, Nigeria”. Agricultural Engineering International: the CIGR Ejournal. Manuscript 1372. Vol. XII.
[14] Ortiz-Canavate., and .I. Salvador 1980. Effects of Different Mechanization Levels in Spanish Dryland Farms. Journal of Agricultural Mechanization in Asia.3 (5):31-36.
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  • APA Style

    Bello R. S., Onyeanula P., Saidu M.J., Bello M. B. (2015). Mechanization and Agricultural Productivity Functions in Umuahia North LGA, Abia, Nigeria. Science Journal of Business and Management, 3(5-1), 21-25. https://doi.org/10.11648/j.sjbm.s.2015030501.15

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    ACS Style

    Bello R. S.; Onyeanula P.; Saidu M.J.; Bello M. B. Mechanization and Agricultural Productivity Functions in Umuahia North LGA, Abia, Nigeria. Sci. J. Bus. Manag. 2015, 3(5-1), 21-25. doi: 10.11648/j.sjbm.s.2015030501.15

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    AMA Style

    Bello R. S., Onyeanula P., Saidu M.J., Bello M. B. Mechanization and Agricultural Productivity Functions in Umuahia North LGA, Abia, Nigeria. Sci J Bus Manag. 2015;3(5-1):21-25. doi: 10.11648/j.sjbm.s.2015030501.15

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  • @article{10.11648/j.sjbm.s.2015030501.15,
      author = {Bello R. S. and Onyeanula P. and Saidu M.J. and Bello M. B.},
      title = {Mechanization and Agricultural Productivity Functions in Umuahia North LGA, Abia, Nigeria},
      journal = {Science Journal of Business and Management},
      volume = {3},
      number = {5-1},
      pages = {21-25},
      doi = {10.11648/j.sjbm.s.2015030501.15},
      url = {https://doi.org/10.11648/j.sjbm.s.2015030501.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.s.2015030501.15},
      abstract = {Index of mechanization and other productivity functions were used as indicators in assessing the impact of mechanization on agricultural production in Umuahia North LGA of Abia state, Nigeria. Analysis of research findings revealed that farmers in the area are predominantly small scale farmers with the major power source being human being. The level of agricultural mechanization was determined by a relationship between the various sources of farm power and the level of human involvement in each operation while the mechanization index was determined for the two identified sources of farm power; human and mechanical.  Low level of mechanical power input, underutilization of available mechanical power and reliability on human power in most of these areas contributed to low production efficiency, low level of mechanization (37.12%) and high MI average of 96.59%.},
     year = {2015}
    }
    

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    AB  - Index of mechanization and other productivity functions were used as indicators in assessing the impact of mechanization on agricultural production in Umuahia North LGA of Abia state, Nigeria. Analysis of research findings revealed that farmers in the area are predominantly small scale farmers with the major power source being human being. The level of agricultural mechanization was determined by a relationship between the various sources of farm power and the level of human involvement in each operation while the mechanization index was determined for the two identified sources of farm power; human and mechanical.  Low level of mechanical power input, underutilization of available mechanical power and reliability on human power in most of these areas contributed to low production efficiency, low level of mechanization (37.12%) and high MI average of 96.59%.
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Author Information
  • Department of Agricultural & Bio-Environmental Engineering Technology, Federal College of Agriculture, Ishiagu, Ebonyi State, Nigeria

  • Department of Agricultural & Bio-Environmental Engineering Technology, Federal College of Agriculture, Ishiagu, Ebonyi State, Nigeria

  • Department of Agriculture & Bio-Environmental Engineering, College of Agriculture, Jalingo, Nigeria

  • Department of Agricultural Economics and Management, Federal College of Agriculture, Ishiagu, Nigeria

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