Application of Fuzzy Goal Programming in Cropping Pattern Management of Selected Crops in Mazandaran Province (Case Study Amol Township (original) (raw)
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This study was undertaken for four medium farmers in the village Bherian, district Hisar. The crops sown by the farmers in the kharif season were cotton, guar and Jowar. The Data was collected through a pre structured schedule which includes total land holdings, season wise land allocated to crops, fallow areas, man days, tractor hours, operating capital and net returns from the farmers' enterprise. The aim of study was to plan a suitable optimum cropping pattern to get returns more than the existing net average returns of farmers using mathematical programming approach. The model thus produced, suggested different alternate plans of cropping patterns that give a higher income than, that could be obtained from the farmer's plan.
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2009 International Conference on Industrial and Information Systems (ICIIS), 2009
This paper presents how the fuzzy goal programming (FGP) and interval valued goal programming (IVGP) can be efficiently used for modelling and solving land allocation problems for optimal production of seasonal crops in agricultural system. In the proposed approach, utilization of cultivable land, production of crops and target level of profit are fuzzily described. The supply and utilization of productive resources are considered interval valued to reach a satisfactory decision in the decision making environment. In the solution process, a genetic algorithm (GA) scheme is employed for achievement of the different goals on the basis of assigned weights of importance in the decision making situation. The potential use of the approach is demonstrated by a case example of the Nadia District, West Bengal (W. B.), INDIA.
Agricultural Systems, 2019
The economic, technical and strategic factors are the three most important factors in examining the cropping patterns in Iran. Iran is geographically located in a part of the planet with specific climate constraints. Drought is one of the constraints that has been a major challenge to agricultural development for many years and has always been the subject of discussions and investigations. On the other hand, constraints such as agricultural soils, economic factors, climate change, agricultural workforce, etc., multiply the production challenges in the country. Despite such constraints, planning a coherent and targeted program for the cultivation of crops and overcome the existing problems is inevitable. The present study introduced a model for optimization of regional cropping pattern decisions, which is one of the subsets of the Multi-Objective Structural Planning (MOSP) approach, and addressed different objectives, such as economic, social and environmental objectives, separately and jointly. However, it is important to address the exchange of crops in different areas in order to achieve the fundamental objectives of determining the optimal cropping pattern. Therefore, in the proposed model of optimal regional cropping pattern, issues such as the transportation of crops and, consequently, virtual water and energy exchanges were also considered. In order to evaluate the proposed model, agricultural arable lands located in the political-geographic divisions of 23 counties of Isfahan province (Iran) were selected for examination. The results showed that in the main groups of grains and forage, a significant reduction was observed in the optimal crop area of the multi-objective model by 26% and 5%, respectively. Increasing the crop area of horticultural products by 10% in the optimal pattern of multi-objective model was another important factor in the analysis of the results. In general, in order to achieve the economic, social and environmental objectives mentioned in this study within the framework of a multi-objective planning, a 16% reduction in the level of the crop area in Isfahan province is inevitable. The results of this measure are reduction in the irrigation water consumption by 17%, increase in the profit by 58% and increase in the production by 11%. Regarding the fact that in the structural planning of cropping pattern, different and sometimes conflicting objectives are considered and the compromise between the objectives is possible in the multi-objective structural planning model, the decision makers are recommended to use this model.