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Computer Vision Applied to Detect Lethargy through Animal Motion Monitoring: A Trial on African Swine Fever in Wild Boar

Investigation article published in Animals

November 29th, 2020

Early detection of infectious diseases is the most cost-effective strategy in disease surveillance for reducing the risk of outbreaks. Latest deep learning and computer vision improvements are powerful tools that potentially open up a new field of research in epidemiology and disease control. These techniques were used here to develop an algorithm aimed to track and compute animal motion in real time. This algorithm was used in experimental trials in order to assess African swine fever (ASF) infection course in Eurasian wild boar. Overall, the outcomes showed negative correlation between motion reduction and fever caused by ASF infection. In addition, infected animals computed significant lower movements compared to uninfected animals. The obtained results suggest that a motion monitoring system based on artificial vision may be used in indoors to trigger suspicions of fever. It would help farmers and animal health services to detect early clinical signs compatible with infectious diseases. This technology shows a promising non-intrusive, economic and real time solution in the livestock industry with especial interest in ASF, considering the current concern in the world pig industry




Fernandez-Carrion E., Barasona JA., Sanchez A., Jurado C., Cadenas-Fernández E. and Sanchez-Vizcaino JM..




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Computer Vision Applied to Detect Lethargy through Animal Motion Monitoring: A Trial on African Swine Fever in Wild Boar

See it on NLM PubMed
Computer Vision Applied to Detect Lethargy through Animal Motion Monitoring: A Trial on African Swine Fever in Wild Boar


Participants:

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

Universidad Rey Juan Carlos (URJC).







Animals
FACTOR YEAR Q
2.323 2019

NLMID: 101635614

PMID: 33260362

ISSN: 2076-2615



TITLE: Computer Vision Applied to Detect Lethargy through Animal Motion Monitoring: A Trial on African Swine Fever in Wild Boar


JOURNAL: Animals (Basel)


NUMERACIÓN: 10(12):E2241


AÑO: 2020


PUBLISHER: MDPI


AUTHORS: Fernandez-Carrion E., Barasona JA., Sanchez A., Jurado C., Cadenas-Fernández E. and Sanchez-Vizcaino JM..


VISAVET PARTICIPANTS


2nd
José Ángel Barasona García-Arévalo
5th
Estefanía Cadenas Fernández
Last
José Manuel Sánchez-Vizcaíno Rodríguez

DOI: https://doi.org/ 10.3390/ani10122241


CITE THIS PUBLICATION:

Fernandez-Carrion E., Barasona JA., Sanchez A., Jurado C., Cadenas-Fernández E. and Sanchez-Vizcaino JM. Computer Vision Applied to Detect Lethargy through Animal Motion Monitoring: A Trial on African Swine Fever in Wild Boar. Animals. 10(12):E2241. 2020. (A). ISSN: 2076-2615. DOI: 10.3390/ani10122241


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