Identifying livestock behavior patterns based on accelerometer dataset
| Autor: | Francisco Gómez-Vela, Federico Divina, Carlos D. Barranco, Gema Montalvo, Domingo S. Rodriguez-Baena, Miguel García-Torres, Manuel Jimenez, Norberto Daz-Diaz |
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| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
Computer science business.industry animal diseases Small number 02 engineering and technology Accelerometer Machine learning computer.software_genre 01 natural sciences 010305 fluids & plasmas Theoretical Computer Science Livestock farming Modeling and Simulation 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Livestock Artificial intelligence business computer |
| Zdroj: | Journal of Computational Science. 41:101076 |
| ISSN: | 1877-7503 |
| DOI: | 10.1016/j.jocs.2020.101076 |
| Popis: | In large livestock farming it would be beneficial to be able to automatically detect behaviors in animals. In fact, this would allow to estimate the health status of individuals, providing valuable insight to stock raisers. Traditionally this process has been carried out manually, relying only on the experience of the breeders. Such an approach is effective for a small number of individuals. However, in large breeding farms this may not represent the best approach, since, in this way, not all the animals can be effectively monitored all the time. Moreover, the traditional approach heavily rely on human experience, which cannot be always taken for granted. To this aim, in this paper, we propose a new method for automatically detecting activity and inactivity time periods of animals, as a behavior indicator of livestock. In order to do this, we collected data with sensors located in the body of the animals to be analyzed. In particular, the reliability of the method was tested with data collected on Iberian pigs and calves. Results confirm that the proposed method can help breeders in detecting activity and inactivity periods for large livestock farming. |
| Databáze: | OpenAIRE |
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