Mathematical approaches to enhancing crop efficiency in water-limited environments

Articles in Press

Document Type : Research Paper

Authors

1 Department of Agricultural Systems Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran.

2 Department of Agricultural systems engineering, Science and Research branch, Islamic Azad, Tehran, Iran.

Abstract

Due to the extensive border areas and varied climates across the country, establishing an effective cultivation pattern is essential for maximizing the use of production factors and resources. This is particularly important in addressing the significant issue of water scarcity. In recent decades, mathematical planning models have become increasingly popular for crafting agricultural policies, optimizing cultivation strategies, and managing agricultural resources. A study conducted in Mazandaran province utilized a two-stage simple random sampling technique, which is known for its reliability, allowing results to be generalized to the entire population when principles are correctly applied. This method aligns with the Iranian Statistics Center's practices, ensuring consistency in statistical methodologies. The study utilized an ideal planning model, specifically goal programming, to integrate diverse and sometimes conflicting objectives, guiding decision-makers toward optimal outcomes. The findings suggest that adopting sustainable practices could streamline crop cultivation in the region, potentially phasing out certain products from the current agricultural system. This transition is projected to boost gross revenue by 775,000 $ compared to existing models. Additionally, the research indicates that the use of fertilizers could decrease: phosphate by 102.12 tons, nitrogen by 65.02 tons, and potash by 38.5 tons, alongside significant reductions in chemical substances like herbicides, insecticides, and fungicides.

Keywords

Main Subjects

Environmental Resources Research

Articles in Press, Accepted Manuscript
Available Online from 27 January 2026

Files

Share

How to cite

Statistics