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

Artículo de investigación publicado en Animals

29 de noviembre de 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. y 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

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


Participantes:

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



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


REVISTA: Animals (Basel)


NUMERACIÓN: 10(12):E2241


AÑO: 2020


EDITORIAL: MDPI


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


PARTICIPANTES VISAVET


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

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


CITA ESTA PUBLICACIÓN:

Fernandez-Carrion E., Barasona JA., Sanchez A., Jurado C., Cadenas-Fernández E. y 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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