Sustainable Agriculture Volume 25 Issue 1 (2025) · pp. 41-43
Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python
Abdullaev, Akmal
Abstract
This study addresses the optimization of resource allocation in the agricultural sector using linear programming techniques. A mathematical model was developed to maximize profit from agricultural production while considering constraints on available resources such as land and water. The model was implemented in Python using the PuLP library, enabling automated problem-solving and precise results. Numerical experiments demonstrated that the proposed model can be effectively applied for decision-making in agriculture. The findings highlight the potential of modern computational tools to enhance the efficiency of agricultural production.
linear programming, resource optimization, sustainable agriculture, Python, PuLP, mathematical modeling.
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