Publicado

2021-05-11

A review of agent-based modeling for simulation of agricultural systems

Una revisión de modelación basada en agentes para la simulación de sistemas agropecuarios

DOI:

https://doi.org/10.15446/dyna.v88n217.89133

Palabras clave:

Agricultural complexity, Agricultural systems modeling, Adaptive complex systems. (en)
Complejidad agropecuaria, Modelación de sistemas agropecuarios, Sistemas complejos adaptativos (es)

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Autores/as

In this manuscript global research trends are analyzed in agent-based modeling (ABM), which is applied to face the inherent complexity of agricultural systems. The search was carried out in Scopus, during the period 2009-2019, and the VOSviewer© software was used as a bibliometric tool. The results show that ABM is used under two approaches: research and policy evaluation, and in three thematic areas: systems and computation sciences, geography and ecology and environmental science. The purpose of this study is to investigate three types of phenomena: land-use changes, water management and agricultural policy evaluation. ABM has been shown to be useful for exploring and understanding the society-nature relationship of agricultural systems under an interdisciplinary and transdisciplinary approach, and for supporting decision-making processes via its application in a Latin American context, which for our purposes is still of utmost importance.

En este manuscrito se analizan las tendencias globales en investigación de la modelación basada en agentes -MBA- aplicada para abordar la complejidad inherente a los sistemas agropecuarios. Se emplea la búsqueda en Scopus, durante el período 2009-2019, y el software VOSviewer© como herramientas bibliométricas. Los resultados obtenidos muestran que MBA se aplica bajo los enfoques de investigación y de evaluación de política en tres áreas temáticas principales: ciencias de la computación y sistemas, geografía, y ciencias ambientales y ecología; y para estudiar esencialmente fenómenos de cambios en el uso de la tierra, gestión del agua y evaluación de políticas agrícolas. Aunque MBA ha demostrado ser una herramienta teórica útil para explorar y comprender la interrelación sociedad-naturaleza de los sistemas agropecuarios desde enfoques inter y transdisciplinarios, así como para soportar los procesos de toma de decisiones, su aplicación en el contexto latinoamericano es aún incipiente.

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Cómo citar

IEEE

[1]
D. Y. Mora Herrera, A. H. Barrientos, y O. Zuñiga Escobar, «A review of agent-based modeling for simulation of agricultural systems», DYNA, vol. 88, n.º 217, pp. 103–110, may 2021.

ACM

[1]
Mora Herrera, D.Y., Barrientos, A.H. y Zuñiga Escobar, O. 2021. A review of agent-based modeling for simulation of agricultural systems. DYNA. 88, 217 (may 2021), 103–110. DOI:https://doi.org/10.15446/dyna.v88n217.89133.

ACS

(1)
Mora Herrera, D. Y.; Barrientos, A. H.; Zuñiga Escobar, O. A review of agent-based modeling for simulation of agricultural systems. DYNA 2021, 88, 103-110.

APA

Mora Herrera, D. Y., Barrientos, A. H. & Zuñiga Escobar, O. (2021). A review of agent-based modeling for simulation of agricultural systems. DYNA, 88(217), 103–110. https://doi.org/10.15446/dyna.v88n217.89133

ABNT

MORA HERRERA, D. Y.; BARRIENTOS, A. H.; ZUÑIGA ESCOBAR, O. A review of agent-based modeling for simulation of agricultural systems. DYNA, [S. l.], v. 88, n. 217, p. 103–110, 2021. DOI: 10.15446/dyna.v88n217.89133. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/89133. Acesso em: 13 mar. 2026.

Chicago

Mora Herrera, Denys Yohana, Aida Huerta Barrientos, y Orlando Zuñiga Escobar. 2021. «A review of agent-based modeling for simulation of agricultural systems». DYNA 88 (217):103-10. https://doi.org/10.15446/dyna.v88n217.89133.

Harvard

Mora Herrera, D. Y., Barrientos, A. H. y Zuñiga Escobar, O. (2021) «A review of agent-based modeling for simulation of agricultural systems», DYNA, 88(217), pp. 103–110. doi: 10.15446/dyna.v88n217.89133.

MLA

Mora Herrera, D. Y., A. H. Barrientos, y O. Zuñiga Escobar. «A review of agent-based modeling for simulation of agricultural systems». DYNA, vol. 88, n.º 217, mayo de 2021, pp. 103-10, doi:10.15446/dyna.v88n217.89133.

Turabian

Mora Herrera, Denys Yohana, Aida Huerta Barrientos, y Orlando Zuñiga Escobar. «A review of agent-based modeling for simulation of agricultural systems». DYNA 88, no. 217 (mayo 10, 2021): 103–110. Accedido marzo 13, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/89133.

Vancouver

1.
Mora Herrera DY, Barrientos AH, Zuñiga Escobar O. A review of agent-based modeling for simulation of agricultural systems. DYNA [Internet]. 10 de mayo de 2021 [citado 13 de marzo de 2026];88(217):103-10. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/89133

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CrossRef citations6

1. Lina M. Bastidas-Orrego, Natalia Jaramillo, Julián A. Castillo-Grisales, Yony F. Ceballos. (2023). A systematic review of the evaluation of agricultural policies: Using prisma. Heliyon, 9(10), p.e20292. https://doi.org/10.1016/j.heliyon.2023.e20292.

2. Ramen Ghosh, Upaka Rathnayake, Marion McAfee. (2025). Ergodic properties of multi-agent iterated function systems with subjective probabilities. International Journal of Control, , p.1. https://doi.org/10.1080/00207179.2025.2560566.

3. Adelyn Flowers, Jonathan D. Kaplan, Ajay S. Singh. (2025). Belief in neighbor behavior and confidence in scientific information as barriers to cooperative disease control. American Journal of Agricultural Economics, 107(5), p.1457. https://doi.org/10.1111/ajae.12535.

4. Şehnaz CENANİ. (2021). Emergence and complexity in agent-based modeling: Review of state-of-the-art research. Journal of Computational Design, 2(2), p.1. https://doi.org/10.53710/jcode.983476.

5. Mahamadou Belem. (2025). MAASSD: Methodology for Agent-based modelling for Agricultural System Simulation in Developing Countries. Food and Ecological Systems Modelling Journal, 6 https://doi.org/10.3897/fmj.6.167755.

6. Julian Castillo Grisales, Yony Ceballos, Lina Bastidas-Orrego, Natalia Jaramillo Gómez, Elizabeth Chaparro Cañola. (2024). Development of an Agent-Based Model to Evaluate Rural Public Policies in Medellín, Colombia. Sustainability, 16(18), p.8185. https://doi.org/10.3390/su16188185.

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