Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever

• DOI: 10.1371/journal.pone.0183793
• Publication Date: 2017-09-06T17:39:08Z
• Authors: Eduardo Fernández...; Marta Martínez-Av...; Benjamin Ivorra; Beatriz Martínez-...; Ángel Manuel Ramos; José Manuel Sánch...
• Keywords: African Swine Fever

Early detection of infectious diseases can substantially reduce the health and economic impacts on livestock production. Here we describe a system for monitoring animal activity based video data processing techniques, in order to detect slowdown weakening due infection with African swine fever (ASF), one most significant threats pig industry. The classifies quantifies motion-based behaviour daily sequences, allowing automated non-intrusive surveillance real-time. aim this is evaluate changes animals' motion after being experimentally infected ASF virus. Indeed, mobility declined progressively fell significantly below pre-infection levels starting at four days confidence level 95%. Furthermore, decreased animals by approximately 10% before disease clinical signs. These results show promise techniques real-time early diseases.