Application of a multi-objective stochastic optimization code to viticulture in Serra Gaúcha

Authors

  • Vinícius Kuczynski Nunes Universidade Federal do Rio Grande - FURG
  • Gustavo Mendes Platt Universidade Federal do Rio Grande - FURG

DOI:

https://doi.org/10.5335/rbca.v18i1.17258

Keywords:

Water Footprint, Multiobjective Linear Stochastic Programming, Viticulture

Abstract

Background: In viticulture, producers sometimes have a decision-making problem in determining the use of land to produce table grapes (for juice production, for instance, the Isabella grape) or wine grapes (for fine wine production). Considering this situation, the aim of this work is to develop and apply a computational code to solve a bi-objective optimization problem in order to minimize irrigation water consumption and maximize the economic benefit from viticulture. To achieve the objective, an interactive algorithm was used based on the solution of multi-objective stochastic linear programming problems. Results: After applying the numerical methodology to solve the optimization problem, the fraction of the production area to be allocated to grapes for juice production and grapes for fine wine production was determined, according to a relaxation parameter involving the different objectives and scenarios of the problem. Conclusions: The results obtained indicate that the choice of the type of grape to be planted depends on different variables, both economic (sales prices and production costs for grape juice and wine) and inherent to the crop itself (yields and crop coefficients). In addition, the code developed is a flexible tool for different decision-making situations.

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Published

2026-04-29

Issue

Section

Original Paper

How to Cite

[1]
2026. Application of a multi-objective stochastic optimization code to viticulture in Serra Gaúcha. Brazilian Journal of Applied Computing. 18, 1 (Apr. 2026), 81–91. DOI:https://doi.org/10.5335/rbca.v18i1.17258.