Artificial Intelligence-Assisted Ethnographic Analysis to Identify Patterns and Trends in the Quality of Life of Native Communities in Cadastral Surveys

Authors

  • Ciro Rodriguez Rodriguez Universidad Nacional Mayor de San Marcos, Lima, PerúUniversidad Nacional Mayor de San Marcos, Lima, PerúUniversidad Nacional Mayor de San Marcos, Lima, Peru https://orcid.org/0000-0003-2112-1349
  • Norberto Ulises Roman Concha Universidad Nacional Mayor de San Marcos, Lima, Peru https://orcid.org/0000-0002-3302-7539
  • Pedro Martin Lezama Gonzales Universidad Nacional Mayor de San Marcos, Lima, Peru
  • Ivan Carlo Petrlik Azabache Universidad Nacional Mayor de San Marcos, Lima, Peru https://orcid.org/0000-0002-1201-2143
  • Carlos Edmundo Navarro Depaz Universidad Nacional Mayor de San Marcos, Lima, Peru
  • Carlos Ernesto Chavez Herrera Universidad Nacional Mayor de San Marcos, Lima, Peru

DOI:

https://doi.org/10.15381/risi.v17i2.29344

Keywords:

Artificial Intelligence, Ethnographic, Cadastre, Quality of Life, Computer Vision

Abstract

The objective of this article is to determine the cadastre and the quality of life of the native community of Manacamiri through an ethnographic study supported by artificial intelligence. The research is non-applied and mixed, with a descriptive approach. The design of the study is non-experimental, and we worked with a sample of 33 randomly selected native settlers, complemented with information obtained from images of the territory captured by a drone. The results cover economic, social and health aspects, as well as the identification of characteristics and anomalies in the images, diagnosed by means of artificial intelligence models to define the living conditions of the native community of Manacamiri.

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Published

2024-12-31

Issue

Vol. 17 No. 2 (2024)

Section

Artículos

License

Copyright (c) 2024 Ciro Rodriguez Rodriguez, Norberto Ulises Roman Concha, Pedro Martin Lezama Gonzales, Ivan Carlo Petrlik Azabache, Carlos Edmundo Navarro Depaz, Carlos Ernesto Chavez Herrera

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

[1]
“Artificial Intelligence-Assisted Ethnographic Analysis to Identify Patterns and Trends in the Quality of Life of Native Communities in Cadastral Surveys”, Rev.Investig.sist.inform., vol. 17, no. 2, pp. 103–114, Dec. 2024, doi: 10.15381/risi.v17i2.29344.