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Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows

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Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applications, 21st International Conference (DCAI 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1173))

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Abstract

The current global population growth has intensified the demand for feed, especially dairy and meat products. In response to this growing need, precision livestock farming has become essential to manage animals efficiently and sustainably. Within this new approach, individual monitoring of each animal is essential. To this end, activity monitoring collars have been postulated as one of the most valuable tools for this purpose. With this in mind, three dimensional reduction methods (ICA, Isomap and t-SNE) have been analyzed in this study to identify patterns in the daily behavior of dairy cows through data collected by these collars. T-SNE was found to be especially effective in distinguishing individual or small group behaviors of animals, which is crucial for improving herd management and early detection of health or behavioral problems.

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Acknowledgements

Álvaro Michelena’s research was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference: FPU21/00932.

CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01).

 This work has been supported by Centro Mixto de Investigación UDC-NAVANTIA (IN853C 2022/01), funded by GAIN (Xunta de Galicia) and ERDF Galicia 2021-2027.

Antonio Díaz-Longueira’s research was supported by the Xunta de Galicia (Regional Government of Galicia) through grants to Ph.D. (http://gain.xunta.gal), under the “Axudas á etapa predoutoral” grant with reference: ED481A-2023-072.

Xunta de Galicia. Grants for the consolidation and structuring of competitive research units, GPC (ED431B 2023/49).

Author information

Authors and Affiliations

  1. University of A Coruña, CTC, CITIC, Department of Industrial Engineering, Avda. 19 de febrero s/n, 15405, Ferrol, A Coruña, Spain

    Álvaro Michelena, Antonio Díaz-Longueira, Paula Arcano-Bea, Héctor Quintián & José Luis Calvo-Rolle

  2. University of A Coruña, LIDIA, CITIC, Faculty of Computer Science, Campus de Elviña, s/n, 15071, A Coruña, Spain

    Óscar Fontenla-Romero

Authors
  1. Álvaro Michelena
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  2. Antonio Díaz-Longueira
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  3. Paula Arcano-Bea
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  4. Héctor Quintián
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  5. Óscar Fontenla-Romero
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  6. José Luis Calvo-Rolle
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Corresponding author

Correspondence to Álvaro Michelena .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Francisco Zayas-Gato

  2. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Antonio Díaz-Longueira

  3. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    José-Luis Casteleiro-Roca

  4. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Esteban Jove

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Michelena, Á., Díaz-Longueira, A., Arcano-Bea, P., Quintián, H., Fontenla-Romero, Ó., Calvo-Rolle, J.L. (2024). Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows. In: Zayas-Gato, F., Díaz-Longueira, A., Casteleiro-Roca, JL., Jove, E. (eds) Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applications, 21st International Conference. DCAI 2024. Lecture Notes in Networks and Systems, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-031-73910-1_4

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