Application of Precision Technologies to Characterize Animal Behavior: A Review.

behavior management precision livestock farming ruminant tracking

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 26 12 2023
revised: 24 01 2024
accepted: 25 01 2024
medline: 10 2 2024
pubmed: 10 2 2024
entrez: 10 2 2024
Statut: epublish

Résumé

This study aims to evaluate the state of precision livestock farming (PLF)'s spread, utilization, effectiveness, and evolution over the years. PLF includes a plethora of tools, which can aid in a number of laborious and complex tasks. These tools are often used in the monitoring of different animals, with the objective to increase production and improve animal welfare. The most frequently monitored attributes tend to be behavior, welfare, and social interaction. This study focused on the application of three types of technology: wearable sensors, video observation, and smartphones. For the wearable devices, the focus was on accelerometers and global positioning systems. For the video observation, the study addressed drones and cameras. The animals monitored by these tools were the most common ruminants, which are cattle, sheep, and goats. This review involved 108 articles that were believed to be pertinent. Most of the studied papers were very accurate, for most tools, when utilized appropriate; some showed great benefits and potential.

Identifiants

pubmed: 38338058
pii: ani14030416
doi: 10.3390/ani14030416
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : National Institute of Agricultural Research (INRA), Rabat, Morocco
ID : Medium-Term Research Program (PRMT): Rangeland Management (2021-2024)

Auteurs

Abdellah Hlimi (A)

Regional Center of Agricultural Research of Tangier, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.
Laboratory of Mathematics and Applications, Faculty of Science and Technology, Abdelmalek Essaâdi University, Tangier 90000, Morocco.

Samira El Otmani (S)

Regional Center of Agricultural Research of Tangier, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.

Fouad Elame (F)

Regional Center of Agricultural Research of Agadir, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.

Mouad Chentouf (M)

Regional Center of Agricultural Research of Tangier, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.

Rachid El Halimi (R)

Laboratory of Mathematics and Applications, Faculty of Science and Technology, Abdelmalek Essaâdi University, Tangier 90000, Morocco.

Youssef Chebli (Y)

Regional Center of Agricultural Research of Tangier, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.

Classifications MeSH