Technologies for the automated collection of heat stress data in sheep

Abstract The automated collection of phenotypic measurements in livestock is becoming increasingly important to both researchers and farmers. capacity non-invasively collect real-time data, provides the opportunity better understand behaviour physiology improve animal management decisions. Current climate models project that temperatures will increase across world, influencing local global agriculture. Sheep are exposed high ambient experience heat stress their physiology, reproductive function performance compromised. Body temperature a reliable measure hence good indicator an animals’ health well-being. Non-invasive temperature-sensing technologies have made substantial progress over past decade. Here, we review different available assess suitability for inferring ovine stress. Specifically, use indwelling probes, intra-ruminal bolus insertion, thermal imaging implantable devices investigated. We further evaluate behavioural tracking technology, such as positioning systems, identify stressed individuals based on exhibition specific behaviours. Although there challenges associated with using thermosensing data make informed decisions, these provide new opportunities manage sheep. In order obtain accurate information individual animals facilitate prompt intervention, should be entirely automated. Additionally, interpretation on-farm, development software which can effectively collect, integrate sheep producer’s needs prioritised. Lastly, understanding known physiological thresholds allow farmers determine risk early intervention reduce effects current subsequent generations.