Farm Management Optimization Under Uncertainty with Impacts on Water Quality and Economic Risk

Date
2022-02-01
Authors
Emirhüseyinoğlu, Görkem
Ryan, Sarah
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Taylor & Francis
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Industrial and Manufacturing Systems Engineering
Abstract
Farm management decisions under uncertainty are important not only for farmers trying to maximize their net income but also for policymakers responsible for incentives and regulations to achieve environmental goals. We focus on corn production as a significant contributor to the US Midwest economy. Nitrogen is one of the key nutrients needed to increase production efficiency, but its leaching and loss as nitrate through subsurface flow and agricultural drainage systems poses a threat to water quality. We build a novel two-stage stochastic mixed-integer program to find the annual farm management decisions that maximize the expected farm profit. A decomposition-based solution strategy is suggested to reduce the computational complexity resulting from the predominance of binary variables and complicated constraints. Case study results indicate that farmers may compensate for the additional risks associated with nutrient reduction strategies by increasing the planned nitrogen application rate. Significant financial incentives would be required for farmers to achieve substantial reductions in nitrate loss by fertilizer management alone. The complicated interactions between fertilizer management and crop insurance decisions observed in the numerical study suggest that crop insurance programs can affect water quality by influencing the adoption of environmentally beneficial practices.
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This is an Accepted Manuscript of an article published by Taylor & Francis in IISE Transactions on February 1, 2022. It is available online at DOI: 10.1080/24725854.2022.2031351. Copyright 2022 Taylor & Francis. Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Posted with permission.
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farm management optimization, stochastic programming, nitrate loss, crop insurance, fertilizer application
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