Search published articles


Showing 2 results for Sabouhi

M. Sabouhi, G.h. Soltani,
Volume 12, Issue 43 (spring 2008)
Abstract

The objective of this study is to introduce an approach for determination of comparative advantage of Basins in the production of crops, enhancing water use efficiency and directing cropping patterns to maximize net virtual water import. A model was constructed and applied assuming five different risks in available water and three levels of irrigation efficiencies (35, 45, and 65). The findings showed that, it is possible to direct optimal cropping pattern at basin level to maximize social profit, water use efficiency and net virtual water import simultaneously. However, in order to derive a definite conclusion, more data are needed about the quantity water embedded in each crop exported from and imported to each country. Moreover, it is necessary to design a suitable export-import plan to be used as a target for directing cropping patterns toward it. The approach used in this study can be viewed as a first step in this direction.
M Alwanchi, M Sabouhi,
Volume 13, Issue 47 (4-2009)
Abstract

Optimum allocation on inputs is more difficult when there are several objectives in agriculture activities. For this, it is necessary using methods that several objectives approximate to ideal point simultaneously. IN addition, no attention to farmer preferences in farm planning causes the troubles for farmers in accepting planning. So in present study it is tried to attention these subjects with using interactive multiple criteria decision making, in farm planning for Fars province. Maximization gross margin, minimization risk and, irrigation water selected for planning objectives. Results indicated that interactive cropping pattern is convenient to present pattern rather than compromise method. In interactive cropping pattern, risk decreased compare to present and compromise cropping pattern that it is indicated tend to risk diminish in region farmers. In addition, the results designated that interactive models have the results better than multi objective and compromise programming because to be attention to farmers preference. With attention to research finding can say that it is possible for reformation of values three objective maximization gross margin, minimization risk and irrigation water rather than present cropping pattern.

Page 1 from 1     

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb