Profit and Sustainable Water Optimization for Irrigated Crop Planning Considering Environmental Conditions and Crop Seasonality

Agriculture is the most water-demanding industry, accounting for approximately 85% of human water consumption. With the growing depletion of groundwater resources, it is essential that farmers find sustainable crop plans and irrigation practices to protect farmer income security while minimizing water consumption. Optimization studies utilizing Linear programming are a tool used to create optimal crop plans that satisfy both profitability requirements and sustainable water consumption. This study created a multi-objective optimization model utilizing Goal programming to create crop plans that protect farmer interests in terms of profitability and water consumption through leveraging environmental conditions such as rainfall, drought, crop seasonality, land requirements, and sustainable water consumption limits. Validated through a theoretical data set and scenario analysis, results were analyzed through performance variables that reveal crop plans that satisfy both farmer income and water conservation goals.