Investigation of Aging Status of Tractors and Repair Power in Agriculture Khuzestan Province Using GIS and AHP

Document Type : Research Paper

Authors

Agricultural Sciences and Natural Resources University of Khuzestan

Abstract

Aging tractors is one of the biggest challenges facing the Iranian agricultural sector which reduces the level of mechanization level. In this regard, the aging status of tractor fleet and repair power of Khuzestan province was investigated. For this purpose, existing tractors were zoned in two categories less and more than 13 years old, using ArcGIS software. Due to the high number of active tractors with more than 20 years of life, these tractors were zoned across the province. Aging factor of tractors was calculated for each individual county and the reasons for using old tractors were investigated using AHP method. A combined index entitled repair power was designed using information entropy and the counties of Khuzestan province were ranked based on that. Results showed that the largest number of tractors with over 13 years of age belonged to Ahwaz and Hendijan counties. Highest aging factor belonged to Bagh-e Malek County. Low financial ability of farmers was identified as the most important reason for using tractors over 13 years of age. The value of calculated repair power index indicates weak repair power in Khuzestan province. There is no correlation between aging factor and repair power, but aging factor had negative correlation with the number of repairman, a criterion of repair power index.

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References

Abbasi, K., Almasi, M., Borgheyee, A. M. & Minayie, S. (2014). Yield model estimation of basic crops based on the agricultural mechanization level index in Iran. Journal of Agricultural Machinery, 4(2), 344-351. (In Farsi).
Ashtiani, A., Ranjbar, I. & Toorchi, M. (2006). Determination of economic life of three types of agricultural tractor in Iran (case study: Dasht-e naz agricultural company, Mazandaran). Journal of agricultural science, 12(1), 221-231.  (In Farsi).
Bencheikh, A., Nourani1, A. & Chabacan M. N. (2017). Sustainability evaluation of agricultural greenhouse structures in southern of Algeria using AHP, case of study: Biskra province. Agricultural Engineering International: the CIGR Ejournal. from http://www.cigrjournal.org. 19(1), 56-64.
Bigdeli, A., Zera-nejad, M. & Asoodar, M. A. (2006). Regional comparison of agricultural mechanization development level by Fuzzy method in Hamedan province. Quarterly Journal of Economic Investigations, 3(4), 23-51. (In Farsi)
Cimren, E. Catay, E. & Budak, E. (2007). Development of a machine tool selection system using AHP. The International Journal of Advanced Manufacturing Technology, 35(3-4), 363-76.
Dehghani kar, A & Ghumri, B. 2017. Evaluation and determination of the level of mechanization of wheat and rainfed crop in Khorramabad city. The 10th National Congress on Agricultural Machinery (Bio Systems) and Mechanization of Iran, Mashhad, Ferdowsi University of Mashhad. (In Farsi).
Desvars-Larrive, A., Liu, X., Hjertqvist, M., Sjostedt, A., Johansson, A. & Ryden, P. (2016). High-risk regions and outbreak modelling of tularemia in humans. Cambridge University Press. Epidemiol. Infect.1-9.
Fathizad, H., Hakimzadeh, M. A., Fallah Shamsi, S. R. & Yaghobi, S. (2017). Watershed-level Rainfall Erosivity Mapping Using GIS-based Geostatistical Modeling. Journal of Earth Science Research, 5 (1), 13-22.
Gadea, O. & Blado, G. 2018. Shannon Entropy Quantum Entanglement Criterion and the Generalized Uncertainty Principle. Asian Journal of Research and Reviews in Physics, 1(4), 1-12.
Hamzah, R. & Prayogo, T. (2014). Interpolation Methods for SEA Surface Height Mapping from Altimetry Satellites in Indonesian SEAS. International Journal of Remote Sensing and Earth Sciences, 11 (1), 33 – 40.
Karimi, S., Mosri-Gandoshmin, T. & Khademolhoseini, N. (2012). Mathematical modelling of maintenance costs and analysis of economic life of agricultural machinery (case study: West Azerbaijan Province). Journal of Agricultural Science and Sustainable Production, 22(4), 87-98. (In Farsi).
Keshvari, A. & Marzban, A. 2018. Zoning the distribution of required agricultural tractor power in Khuzestan province using FCM cluster analysis. Agricultural Mechanization and System Research, 19(71), 125-138. (In Farsi).
Khodaverdi, A. & Forouzani, M. 2017. Leveling the provinces of Iran from the levels of agricultural mechanization development. Second National Conference on Mechanization and Modern Technologies in Agriculture. Ahvaz, University of Agricultural Sciences and Natural Resources of Khuzestan. (In Farsi).
Khoshbin, Sh., Rasooli Sharabiani, V. Fazel Dolat Abad, M. & Keyhani Nasab, F. 2017. Determination and evaluation of mechanization level in Pars Abad County and its distribution based on Geographic Information System (GIS). 1St International and 5St National conference on organic vs. conventional agriculture. Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardebili. August 16Th-17Th. (In Farsi).
Khodabakhshian kargar, R., Shakeri, M. & Baradaran. J. (2008). Statistical investigation of failure causes and troubleshooting of Massey Ferguson tractors. 285. In: Proceedings of 3rd specialized conference on condition monitoring and fault diagnosis of machinery, 12-13 sept., Sharif University, Tehran. (In Farsi).
Khodabakhshian kargar, R., Baradaran motie, J. & Shakeri, M., (2008). Application of condition monitoring in optimization of maintenance and repair plan of agricultural machinery. In: Proceedings of 5th international conference on maintenance and repairmen, 28-29 oct., Tehran. (In Farsi).
Piri, I., Khanamani, A., Shojaei, S. & Fathizad, H. (2017). Determination of the Best Geostsistical Method for Climatic Zoning in IRAN. Applied Ecology and Environmetal Research, 15(1), 93-103.
Mohammadi, O., & Zarifiyan, S. (2008). Factors affecting the mechanization of farm lands (case study: Nishapur county). In: Proceedings of 5th national congress on agricultural machinery and mechanization, 28-29 Aug., Ferdowsi University, Mashhad. (In Farsi).
Moradi, M. A., Sadeghi, M., Sadeghi, H. & Moradi. L. (2014). Development of a model for evaluating the replacement of worn-out tractors in Iran and presenting complementary energy policy in the agriculture and horticulture sub-sector. 2014. Iranian journal of energy, 17(1), 1-24. (In Farsi).
Paman, U., Uchida, S., Inaba, S., & Kojima, T. (2008). Causes of tractor breakdowns and requisite solutions a case study of small tractor use in Riau Province, Indonesia. ASEAN Journal on Science and Technology for Development (AJSTD), 25 (1), 27-36.
Pishbin, S., Mohammadi, H. & Ejrayie, A. (2007). Investigation of problems related to applying agricultural mechanization in Jahrom region. Journal of Development and Productivity, 2(5), 17-29. (In Farsi)
Rouhani, A. & Masaudi, H. (2013). Prediction of economic life of two-wheel drive tractors using cumulative cost model and its comparison with cost minimization model. Journal of agricultural science (agricultural engineering), 36(2), 59-68. (In Farsi).
Saaty, T. L. (2008). Decision making with the analystic hierarchy process. International Journal Services Sciences, 1(1), 83–98.
Shannon, C. E. (1948). A mathematical theory of communication. Bell System. Technical Journal, 27, 379‐423.
Val-mohammadi, CH. and Firozeh, N. (2010). Assessment of organization function using BSC technic. Journal of management, 7(18), 72-87. (In Farsi).
Veisia, H., Liaghatia, H. & Alipour, A. (2016). Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP). Ecological Indicators, 60, 644–654.
Yazdan-shenas, L., Sadralashrafim M. & Yazdani, S. 2005. Analysis of net investment in agricultural mechanization. In: Proceedings of 5th biennial conference on agricultural economy of Iran, 31august-1 sept University of Sistan and Baluchestan. (In Farsi).
Wu, S., Fu, Yelin., Shen, H. & Liu, F. 2018. Using ranked weights and Shannon entropy to modify regional sustainable society index. Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2018.05.052.
Yang, Z., Chen, G., Duan, J., Peng, T. & Wang, J. (2009). Development Strategy of Agricultural Machinery Based on Energy-Saving in China. Biennial Conference of the Australian Society for Engineering in Agriculture (SEAg), published by SEAg. In 13-16 September, Brisbane, QLD.
Iranian Journal of Biosystems Engineering
Volume 50, Issue 4
January 2020
Pages 749-759

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History

  • Receive Date: 25 December 2017
  • Revise Date: 19 February 2019
  • Accept Date: 06 October 2019

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