Final answer:
To maximize the farmer's profits, we define the number of acres for corn and wheat as variables and apply linear programming considering constraints on land, budget, and bushel limit. We solve for the combination of corn and wheat that will result in the highest profit without exceeding any constraints.
Step-by-step explanation:
To solve this problem, we need to use linear programming to maximize the farmer's profit given the constraints. We define the variables as the number of acres of corn (x) and wheat (y). So, we have the following constraints based on land, budget, and bushel limits:
- x + y ≤ 360 (land constraint)
- 120x + 60y ≤ 24000 (budget constraint)
- 100x + 40y ≤ 18000 (bushel constraint)
The profit function to maximize is: Profit = 225x + 100y.
When we solve these linear inequalities, we aim to find the optimal combination of x and y. Graphically, we look for the point within the feasible region that will give us the highest value for the Profit function. We check the vertices of the feasible region which are formed at the intersection of constraints. The final solution will be where the maximum profit can be obtained without exceeding constraints. Using linear programming methods or graphical analysis, we would calculate the exact number of acres to plant for each crop.