Real-life Examples of Linear Programming in Python

Food and agriculture

Those who work in agriculture have the enormous responsibility to meet the food requirements of the population. Therefore, a natural constraint exists between the supply and demand of food. In agriculture, linear programming is employed to make smart decisions about the expenditure and distribution of resources.

• Maximizing crop yields
  Linear programming is used to maximize the yield of crops by taking into consideration different constraints, such as nutrient concentration, demand for the crop, and its profitability.

• Food distribution
  Linear programming is used to optimize the distribution of food to different regions. Multiple factors like the food’s shelf life, transportation cost, and demand for the product serve as the constraining variable for the optimization problem.

• Diet plan
  Linear programming is used by nutritionists to optimize the calorie intake for a healthy and balanced diet.