OPTIMIZATION OF THE CROPPING PATTERN IN CENTRAL YASIN DISTRICT GHIZER, GILGIT-BALTISTAN

Main Article Content

F. Haq E. Ali S. Hussain

Abstract

In this research study Linear Programming (LP) Model is applied to determine the maximum profit from the three major crops (wheat, maize and alfalfa) in Central Yasin District Ghizer, where agriculture is the main source of income, however, due to population growth the agricultural land is used to construct buildings, which has minimized the land for agricultural use. In such a challenging condition a method to suggest the cultivation of a maximum profitable crop is the need of time. Therefore, LP model is an appropriate method to decide the profitable crop and to maximize the profit. The study was conducted employing quantitative method of research, with the purpose to compare the maximum profit per annum from the major crops, and to determine the beneficial crop among the three major crops in Central Yasin. All the farmers of the study area who grow the crops were the target population of the study and samples from the target population were selected using random sampling technique. Data was collected by conducting survey in the study area, where self-made questionnaires were distributed among the samples individually and responses were noted on the spot. The raw data is organized and analyzed using Microsoft Excel for LP model formulation. The result showed that the average land used for the cultivation of wheat, maize and alfalfa in the study area is 0.924 acres, 0.664 acres and 0.75 acres respectively. Furthermore, results of the LP model showed that alfalfa is the optimal solution rather than wheat and maize, and it (alfalfa) gives an average annual net profit of Rs.195634.488.

Article Details

How to Cite
HAQ, F.; ALI, E.; HUSSAIN, S.. OPTIMIZATION OF THE CROPPING PATTERN IN CENTRAL YASIN DISTRICT GHIZER, GILGIT-BALTISTAN. Journal of Mountain Area Research, [S.l.], v. 5, p. 10-18, dec. 2020. ISSN 2518-850X. Available at: <https://journal.kiu.edu.pk/index.php/JMAR/article/view/65>. Date accessed: 17 apr. 2021.
Section
Mathematical Sciences

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