An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás

Authors

  • Guido Dutra de Oliveira Computer Science Department University of Brasilia
  • Pedro Phelipe Gonçalves Porto Programa de Pós-graduação em Tecnologia Ambiental e Recursos Hídricos Departamento de Engenharia Civil e Ambiental
  • Conceição de Maria Albuquerque Alves Programa de Pós-graduação em Tecnologia Ambiental e Recursos Hídricos Departamento de Engenharia Civil e Ambiental
  • Celia Ghedini Ralha Computer Science Department Institute of Exact Science University of Brasília (UnB), Brazil https://orcid.org/0000-0002-2983-2180

DOI:

https://doi.org/10.22456/2175-2745.107041

Keywords:

agent-based modeling, agent-based simulation, irrigated agriculture, water resources

Abstract

Agriculture is one of the main economic activities in Brazil. The intensive use of water for irrigated agriculture leads to water rise demand contributing to increase water stress. Agent-based models help assess this problem with promising applications entailing an organizing principle to inform us of how to view a real-world system and effectively build a model. In this work, agent-based modeling is applied to simulate water usage for irrigation in agricultural production in the Samambaia river basin in the municipality of Cristalina in the Goias state of Brazil. The use of real data enables analysis of resource availability in a scenario with high demand irrigation, allowing a greater understanding of the needs of the parties involved.

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Author Biography

Celia Ghedini Ralha, Computer Science Department Institute of Exact Science University of Brasília (UnB), Brazil

Celia G. Ralha holds a Ph.D. in Computer Science from Leeds University, England and a M.Sc. in Electronic  and  Computer Engineering  from  Aeronautics Institute of Technology, Brazil. She is an associate professor at the Department of Computer Science, University of Brasilia, Brazil. She is  a  senior  member  of  the  Brazilian  Computer  Society and receives a  research productivity grant  from the Brazilian National Council  for Scientific  and Technological Development (CNPq). Her current research interests include knowledge based systems, multi-agent systems, agent-based modeling and simulation, and multi-agent planning.

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Published

2021-08-29

How to Cite

de Oliveira, G. D., Porto, P. P. G., Alves, C. de M. A., & Ralha, C. G. (2021). An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás. Revista De Informática Teórica E Aplicada, 28(2), 107–123. https://doi.org/10.22456/2175-2745.107041

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Section

Special Issue on Distributed Artificial Intelligence and Multiagent Systems