Mathematical approaches to enhancing crop efficiency in water-limited environments

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 ۷۷۵,۰۰۰ compared to existing models. Additionally, the research indicates that the use of fertilizers could decrease: phosphate by ۱۰۲.۱۲ tons, nitrogen by ۶۵.۰۲ tons, and potash by ۳۸.۵ tons, alongside significant reductions in chemical substances like herbicides, insecticides, and fungicides.

کلیدواژه ها:

Cultivation ، Optimization ، Sustainability ، Water Scarcity