Use of Fuzzy Multi-Objective Fractional Programming Model to Determine the Optimum Cropping Pattern toward Sustainable Agriculture: A Case Study Sanandaj

Hamed Ghaderzadeh, Hemen Nader and Omid Zamani

No 290459, 2011 ASAE 7th International Conference, October 13-15, Hanoi, Vietnam from Asian Society of Agricultural Economists (ASAE)

Abstract: Agriculture resources considered to be one of the most important renewable and dynamic natural resources. The purpose of the study was determining cropping pattern toward sustainable agriculture. Fuzzy multi-objective fractional programming model was formulated for find the optimal cropping pattern with regard to sustainable agriculture. The results showed that the optimal cropping pattern using the multi-objective fuzzy fractional programming to achieve sustainability is different with the current cropping pattern. Moreover, the results of the stability indices (ratio of gross income to the use of chemical fertilizers and pesticides) showed the significance of this goal was built for sustainability. Sustainability indices determined for chemical pesticides fungicides, herbicides, insecticide, nitrogen, phosphate and fertilizer. Results indicate that elimination or minimization of chemical pesticides and fungicides is more important than other inputs.

Keywords: Crop Production/Industries; Environmental Economics and Policy; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 11
Date: 2011-10-13
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Persistent link: https://EconPapers.repec.org/RePEc:ags:asae11:290459

DOI: 10.22004/ag.econ.290459

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