Environmental impact assessment of sustainable agricultural practices through structural analysis with the MICMIAC technique

Authors

  • Raúl José Martelo Gómez Specialist in Networks and Telecommunications, Master in Computer Science, Systems Engineer, Full-time Research Professor of the Systems Engineering Program at the Universidadde Cartagena, Leader of the INGESINFO Research Group, Cartagena de Indias, Colombia
  • Heybertt Moreno Díaz Specialist in telecommunications, Systems Engineer, Professor of the Systems Engineering Program at the Universidad de Cartagena, Cartagena de Indias, Colombia
  • David Antonio Franco Borré Master in Computer Science, Systems Engineer, Full-time Research Professor of the Systems Engineering Program at the Universidad de Cartagena, Cartagena Colombia

Keywords:

Sustainable agriculture, environmental impact, MICMAC, decision making

Abstract

This study assesses the environmental impact of sustainable agricultural practices through a structural analysis using the MICMAC technique to evaluate the key interrelations between variables. Variables were identified and classified, highlighting those with important influences and dependencies. The results showed that Use of agrochemicals, Climate resilience, and Greenhouse gas emissions are variables with a high impact. The results also show the existence of determinant variables such as Energy use, Biological diversity, among others. Autonomous variables, such as Effects on human health and Soil erosion, show direct impacts on human health and soil management. Finally, Economic costs and profitability were variables that were classified as result variables, reflecting the economic impact of sustainable practices. Despite some limitations, the study provides support when making decisions in sustainable agriculture.

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Published

2024-01-20

How to Cite

Raúl José Martelo Gómez, Heybertt Moreno Díaz, & David Antonio Franco Borré. (2024). Environmental impact assessment of sustainable agricultural practices through structural analysis with the MICMIAC technique. Journal of Computational Analysis and Applications (JoCAAA), 33(1A), 467–474. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/721

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