Computer Vision in the field of productive control and health in Farm Animals

Authors

  • Jeidy Katherine Reyes Zambrano Universidad Técnica de Manabí, Facultad de Ciencias Informáticas, Departamento de Sistemas Computacionales, Portoviejo, Manabi, Ecuador. ORCID iD https://orcid.org/0009-0000-5203-9212
  • María Genoveva Moreira Santos Universidad Técnica de Manabí, Facultad de Ciencias Informáticas, Departamento de Sistemas Computacionales, Portoviejo, Manabi, Ecuador. ORCID iD https://orcid.org/0000-0003-3216-9831

DOI:

https://doi.org/10.33936/isrtic.v9i1.7156

Keywords:

Computer vision, farm, animals, welfare

Abstract

In recent years, computer vision technologies have gained popularity in the agricultural sector; however, their application to animals is still under development due to the challenges involved in integration. This research aims to study the use of computer vision technologies for the productive and health management of farm animals. To this end, the “Systematic Literature Review” methodology proposed by Kitchenham & Charters was employed. This methodology involves conducting a compressive search through scientific databases, including Scopus, IEEE Xplore, Science Direct and Google Scholar, following specific inclusion and exclusion criteria. The process includes formulating research questions, identifying relevant keywords, and evaluating the quality of the selected studies. Through this process, an exhaustive and rigorous analysis of the existing literature is ensured, leading to precise and relevant results to study various issues related to farm animals, such as chickens, pig, and cattle, which produce raw materials essential for the livelihood and businesses of families in rural areas. Tasks such as animal identification and tracking are made possible through tools like YOLOv, CNN, segmentation techniques, colorimetry, 2D and 3D images, and cameras that serve as data inputs for processed information used in intelligent analysis and decision-making. These tools are useful for practices with various purposes, encompassing the welfare, health, and productivity of animals. Furthermore, this research recommends tools that could compete with or surpass current solutions, contributing to precision livestock farming by continuously improving technological usage and its relationship with farmers.

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Published

2025-01-02

Issue

Vol. 9 No. 1: January - June (2025)

Section

Regular Papers

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Copyright (c) 2025 Jeidy Katherine Reyes Zambrano, María Genoveva Moreira Santos

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