Work

Mathematical Modeling for Maximizing Agricultural Productivity in Serranópolis Do Iguaçu, Pr, Brazil

Year: 2025

Type: article

Abstract: ABSTRACT This article aimed to develop and analyze a linear programming application to maximize crop yield in a small farm in Serranópolis do Iguaçu-PR, Brazil. Linear programming is a crucial tool in agriculture for optimizing technical, economic, and financial outcomes. The study was carried out between May and August 2023 and involved administering a questionnaire to the production unit manager and developing a mathematical model using LINGO 18.0 software. Our results showed that the model can generate an annual revenue of R$ 676.478,70, exceeding the farm’s current revenue by 12.50%. Comparative simulations showed that this Annual Economic Result (REA) maximization model had superior financial performance to the observed situation. Our findings highlight the effectiveness of linear programming in optimizing agricultural production, enabling more efficient and sustainable management.

Source: Engenharia Agrícola

DOI: 10.1590/1809-4430-eng.agric.v45nespe120240182/2025

Authors: André Sandmann, Ana F. M. T. Sandmann, José A. A. dos Santos, Fabiana C. A. Schutz, Vera L. A. de Lima, Marcos R. Portolan

Institutions: Universidade Tecnológica Federal do Paraná, Universidade Federal de Campina Grande

Language: English

Topic: Optimization and Mathematical Programming

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $95