Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars
Nowadays, precision livestock farming has revolutionized the livestock industry by providing it with devices and tools that significantly improve farm management. Among these technologies, smart collars have become a very common device due to their ability to register individual cow behavior in real...
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| Format: | Article |
| Language: | English |
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Ediciones Universidad de Salamanca
2024-12-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
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| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/32508 |
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| author | Álvaro Michelena Esteban Jove Óscar Fontenla-Romero José-Luis Calvo-Rolle |
| author_facet | Álvaro Michelena Esteban Jove Óscar Fontenla-Romero José-Luis Calvo-Rolle |
| author_sort | Álvaro Michelena |
| collection | DOAJ |
| description | Nowadays, precision livestock farming has revolutionized the livestock industry by providing it with devices and tools that significantly improve farm management. Among these technologies, smart collars have become a very common device due to their ability to register individual cow behavior in real time. These data provide the opportunity to identify behavioral patterns that can be analyzed to detect relevant conditions, such as estrus.
Against this backdrop, this research work evaluates and compares the effectiveness of six one-class techniques for estrus early detection in dairy cows in intensive farms based on data collected by a commercial smart collar. For this research, the behavior of 10 dairy cows from a cattle farm in Spain was monitored. Feature engineering techniques were applied to the data obtained by the collar, in order to add new variables and enhance the dataset.
Some techniques achieved F1-Score values exceeding 95 % in certain cows. However, considerable variability in the results was observed among different animals, highlighting the need to develop individualized models for each cow. In addition, the results suggest that incorporating a temporal context of the animal’s previous behavior is key to improving model performance. Specifically, it was found that when considering a period of 8 hours prior, the performance of the evaluated techniques was substantially improved. |
| format | Article |
| id | doaj-art-8e9117fa26e841d68aae4a1b43f48108 |
| institution | Kabale University |
| issn | 2255-2863 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ediciones Universidad de Salamanca |
| record_format | Article |
| series | Advances in Distributed Computing and Artificial Intelligence Journal |
| spelling | doaj-art-8e9117fa26e841d68aae4a1b43f481082025-01-23T11:25:18ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632024-12-0113e32508e3250810.14201/adcaij.3250837989Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity CollarsÁlvaro Michelena0Esteban Jove1Óscar Fontenla-Romero2José-Luis Calvo-Rolle3University of A Coruña, CTC, CITIC, Department of Industrial Engineering, Calle Mendizábal s/n, Ferrol, 15403, A Coruña, SpainUniversity of A Coruña, CTC, CITIC, Department of Industrial Engineering, Calle Mendizábal s/n, Ferrol, 15403, A Coruña, SpainUniversity of A Coruña, LIDIA, CITIC, Faculty of Computer Science, Campus de Elviña, s/n, A CoruñaUniversity of A Coruña, CTC, CITIC, Department of Industrial Engineering, Calle Mendizábal s/n, Ferrol, 15403, A Coruña, SpainNowadays, precision livestock farming has revolutionized the livestock industry by providing it with devices and tools that significantly improve farm management. Among these technologies, smart collars have become a very common device due to their ability to register individual cow behavior in real time. These data provide the opportunity to identify behavioral patterns that can be analyzed to detect relevant conditions, such as estrus. Against this backdrop, this research work evaluates and compares the effectiveness of six one-class techniques for estrus early detection in dairy cows in intensive farms based on data collected by a commercial smart collar. For this research, the behavior of 10 dairy cows from a cattle farm in Spain was monitored. Feature engineering techniques were applied to the data obtained by the collar, in order to add new variables and enhance the dataset. Some techniques achieved F1-Score values exceeding 95 % in certain cows. However, considerable variability in the results was observed among different animals, highlighting the need to develop individualized models for each cow. In addition, the results suggest that incorporating a temporal context of the animal’s previous behavior is key to improving model performance. Specifically, it was found that when considering a period of 8 hours prior, the performance of the evaluated techniques was substantially improved.https://revistas.usal.es/cinco/index.php/2255-2863/article/view/32508precision livestock farmingcattle behaviourintelligent monitoring collarsone-class techniques |
| spellingShingle | Álvaro Michelena Esteban Jove Óscar Fontenla-Romero José-Luis Calvo-Rolle Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars Advances in Distributed Computing and Artificial Intelligence Journal precision livestock farming cattle behaviour intelligent monitoring collars one-class techniques |
| title | Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars |
| title_full | Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars |
| title_fullStr | Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars |
| title_full_unstemmed | Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars |
| title_short | Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars |
| title_sort | evaluation of one class techniques for early estrus detection on galician intensive dairy cow farm based on behavioral data from activity collars |
| topic | precision livestock farming cattle behaviour intelligent monitoring collars one-class techniques |
| url | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/32508 |
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