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Computer vision algorithm for the identification of free-range chickens

J.S. Moura et al · Universidade Federal de Minas Gerais, Escola de Veterinária · 2025

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Author / responsible party
J.S. Moura et al
Publisher
Universidade Federal de Minas Gerais, Escola de Veterinária
Year
2025
ISSN
1678-4162
ISSN
1678-4162
Language
English
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ABSTRACT The increase in the number of free-range breeders in Canela-Preta strengthens the Brazilian poultry industry, mainly in terms of biosafety, health and quality of the animals. Therefore, it is necessary to identify these chickens using modern and non-invasive techniques, thus, this study aimed to develop a computer vision algorithm based on artificial intelligence to identify Canela-Preta chickens using images. An accuracy rate of 86.54% and similarity of 99.58% were obtained using YOLO (you only look once) for detection and template matching for identification. It was concluded that the individual identification of free-range Canela-Preta chickens using the proposed methodology was accurate.

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APA 7

al, J. M. E. (2025). Computer vision algorithm for the identification of free-range chickens. https://doi.org/10.1590/1678-4162-13396

MLA

al, J.S. Moura et. "Computer vision algorithm for the identification of free-range chickens." 2025. https://doi.org/10.1590/1678-4162-13396.

Chicago

al, J.S. Moura et. 2025. "Computer vision algorithm for the identification of free-range chickens.". https://doi.org/10.1590/1678-4162-13396.

Harvard

al, J. M. E. 2025, Computer vision algorithm for the identification of free-range chickens, Universidade Federal de Minas Gerais, Escola de Veterinária, available at: https://doi.org/10.1590/1678-4162-13396 [Accessed 7 Aug. 2026].

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Title
Computer vision algorithm for the identification of free-range chickens
Author / contributors
J.S. Moura et al
Publisher
Universidade Federal de Minas Gerais, Escola de Veterinária
Publication year
2025
ISSN
1678-4162
ISSN
1678-4162
Language
English

Subjects

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artificial intelligence; Canela-Preta chicken; Convolutional neural network; template matching; YOLO
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