Advances and applications of fuzzy Linear and nonlinear programming in modern agriculture optimization
DOI:
https://doi.org/10.17268/agroind.sci.2025.03.04Keywords:
Fuzzy linear programming, agricultural optimization, resource management, fuzzy logic, modern agricultureAbstract
Population growth exerts increasing pressure on agricultural systems, demanding efficient and sustainable resource management. Fuzzy Linear Programming (FLP) has emerged as a key tool for addressing uncertainty in resource allocation, optimizing cropping patterns, and promoting agricultural sustainability. The purpose of this article is to systematically review the advances and applications of fuzzy linear and nonlinear programming in modern agriculture, ranging from water and fertilizer management to crop planning and environmental impact mitigation. We identified 842 documents through a systematic search of scientific databases, applying inclusion and exclusion criteria to select relevant studies. The findings demonstrate the potential of FLP to integrate multiple objectives and handle uncertainties inherent in the agricultural context, providing practical and sustainable solutions. However, challenges persist that limit its large-scale adoption.
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Copyright (c) 2025 Maximiliano Asis-Lopez, Javier Hilasaca-Condori, Patricia Huamán-Romero
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