A whole-farm plan outlines the type and volume of production for the entire farm and the necessary resources to achieve it.
Resulting detailed projections form a whole-farm budget that organizes expected costs and returns.
Determine Objectives and Specify Goals: Establish what the farming operation aims to achieve.
Inventory of Available Resources: Assess land, labor, machinery, and any other assets.
Identify Possible Enterprises and Technical Coefficients: Select potential production options and evaluate their resource needs.
Estimate Gross Margin of Each Enterprise: Calculate returns after variable costs are deducted.
Choose a Combination of Enterprises: Select the mix that maximizes profitability.
Prepare a Whole-Farm Budget: Create a financial plan reflecting projected income and costs.
Profit maximization is common, but managers may also focus on long-term productivity, environmental stewardship, worker health, and financial independence.
Performance goals should be set based on desired outcomes such as crop yield and net income targets.
Land: Total acreage, land type, fertility, climate, etc.
Buildings: Number and condition of farm structures.
Labor: Availability and skill level of workers.
Machinery: Size and capacity of equipment.
Capital: Financial resources for operations.
Management: Experience of operators and past farm performance.
Indicate the amount of resource required to produce one unit of output for each enterprise.
Crucial for determining optimal enterprise sizes and combinations.
Enterprise budgets serve as tools for planning by providing estimates of the gross margin (returns above variable costs).
The ideal mix of enterprises yields the highest profitability given limited resources.
Linear Programming: A mathematical technique utilized to determine optimal enterprise combinations.
The whole-farm budget helps to:
Estimate expected income, expenses, and profit.
Analyze cash flows and liquidity.
Compare alternatives and evaluate changes.
Communicate plans to stakeholders.
An example illustrates selecting a mix of crops and livestock to maximize gross margin.
Linear Programming (LP): A systematic mathematical method to find the most profitable enterprise combination based on constraints.
Objective: maximize GM(1)xUNITS(1) + GM(2)xUNITS(2) + …
Constraints: X1xUNITS(1) + X2xUNITS(2) + … ≤ RESOURCE
In linear programming (LP) for whole-farm planning, key terms and letters include:
GM(i): Represents the gross margin from the i-th farm enterprise, calculated as the difference between revenues and variable costs. It's essential for assessing profitability.
UNITS(i): Refers to the quantity produced for the i-th enterprise, such as bushels of crops or livestock head.
X(i): Denotes the resource input coefficient for each enterprise, indicating the specific resources needed (e.g., land, labor) to produce one unit.
RESOURCE: Total available quantity of a specific resource, like land or capital, vital for ensuring that production stays within limits.
Organize data into a tableau for analysis.
Columns: Enterprises considered.
Rightmost column: Resource limits.
Rows: Represent objective function and constraints.
Shadow Prices: Indicate how much the objective would increase with one more unit of a limited resource, representing the marginal value product.
Reduced Costs: Indicate how much the objective would decrease if a non-selected enterprise is produced.
Sensitivity Analysis: Evaluates how changes in assumptions affect projections.
Liquidity Analysis: Assesses the farm's ability to meet cash flow needs.
Long-run vs. Short-run Budgeting: Factors variations in prices and yields over time.
Average or long-run prices and yields should be utilized.
Ignore short-term inventories and focus on sufficient capital investments to maintain assets.
Whole-farm planning involves analyzing profitability across all operations.
Linear programming aids in identifying optimal enterprise combinations for improved financial performance.