Application of infrared thermography and machine learning techniques in cattle health assessments: A review

Y Wang, Q Li, M Chu, X Kang, G Liu - Biosystems Engineering, 2023 - Elsevier
Highlights•Infrared thermography is an effective tool in cattle health assessments.•The most
widely used emissivity is 0.98, used in over 60% of researches.•Machine learning …

Non-invasive methods of quantifying heat stress response in farm animals with special reference to dairy cattle

V Sejian, CG Shashank, MV Silpa, AP Madhusoodan… - Atmosphere, 2022 - mdpi.com
Non-invasive methods of detecting heat stress magnitude for livestock is gaining momentum
in the context of global climate change. Therefore, the objective of this review is to focus on …

Methods to quantify heat stress in ruminants: Current status and future prospects

G Wijffels, M Sullivan, J Gaughan - Methods, 2021 - Elsevier
The physiology of hyperthermia or heat stress in mammals is complex. It is a totally systemic
condition that in varying degrees involves all organs, tissues and body fluid compartments …

Automated monitoring of cattle heat stress and its mitigation

MA Islam, S Lomax, A Doughty, MR Islam… - Frontiers in Animal …, 2021 - frontiersin.org
Climate change related global warming is likely to continue, despite all mitigation measures
taken by humans, due to the lag effect of long-term anthropogenic activities. Warming of the …

[HTML][HTML] A deep learning model to forecast cattle heat stress

NH Chapman, A Chlingaryan, PC Thomson… - … and Electronics in …, 2023 - Elsevier
The accurate forecasting of feedlot cattle heat stress is pivotal to improving animal welfare
and reducing the economic losses associated with heat events. This study investigated how …

Predictive Models of Dairy Cow Thermal State: A Review from a Technological Perspective

SF Neves, MCF Silva, JM Miranda, G Stilwell… - Veterinary …, 2022 - mdpi.com
Simple Summary Heat stress in cattle is broadly defined as a physiological condition in
which body temperature rises, and the animals are no longer able to adequately dissipate …

Перспективы применения технологий искусственного интеллекта в сельском хозяйстве региона

EA Skvortsov - Экономика региона, 2020 - ceeol.com
В статье приведен анализ перспектив применения технологий искусственного
интеллекта в сельском хозяйстве Свердловской области. Актуальность исследования …

Recent advances on early detection of heat strain in dairy cows using animal-based indicators: A review

H Shu, W Wang, L Guo, J Bindelle - Animals, 2021 - mdpi.com
Simple Summary In the dairy industry, heat stress and its induced heat strain result in huge
economic loss every year. To better manage heat strain in dairy cows, it is more sensible to …

The role of artificial intelligence in Latin American ruminant production systems

E Vargas-Bello-Pérez, OR Espinoza-Sandoval… - Animal …, 2024 - academic.oup.com
role of artificial intelligence in Latin American ruminant production systems | Animal
Frontiers | Oxford Academic Skip to Main Content Advertisement Oxford Academic Journals …

Predicting physiological responses of dairy cows using comprehensive variables

H Shu, Y Li, J Bindelle, Z Jin, T Fang, M Xing… - … and Electronics in …, 2023 - Elsevier
Heat stress is increasingly affecting the production, health, and reproduction of dairy cows.
Previous studies used limited variables as predictors of physiological responses, and the …