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 …

Heat stress effects on milk yield traits and metabolites and mitigation strategies for dairy cattle breeds reared in tropical and sub-tropical countries

V Habimana, AS Nguluma, ZC Nziku… - Frontiers in Veterinary …, 2023 - frontiersin.org
Heat stress is an important problem for dairy industry in many parts of the world owing to its
adverse effects on productivity and profitability. Heat stress in dairy cattle is caused by an …

Precision livestock farming: What does it contain and what are the perspectives?

JL Kleen, R Guatteo - Animals, 2023 - mdpi.com
Simple Summary Digital tools are becoming increasingly important in livestock farming. The
impact of digitalization appears to be best documented in dairy cattle husbandry. Precision …

[HTML][HTML] Performance comparison of machine learning models used for predicting subclinical mastitis in dairy cows: Bagging, boosting, stacking, and super-learner …

A Satoła, K Satoła - Journal of Dairy Science, 2024 - Elsevier
Mastitis has a substantial impact on the dairy industry across the world, causing dairy
producers to suffer losses due to the reduced quality and quantity of produced milk. A further …

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] Health status classification for cows using machine learning and data management on AWS cloud

K Dineva, T Atanasova - Animals, 2023 - mdpi.com
Simple Summary Digital transformation in modern farms is triggered by the development of
technologies. It allows the monitoring of livestock and evaluation of animal welfare by using …

[HTML][HTML] An approach-based machine learning and automated thermal images to predict the dark-cutting incidence in cattle management of healthcare supply chain

MA Jaddoa, AA Zaidan, LA Gonzalez, M Deveci… - … Applications of Artificial …, 2024 - Elsevier
The healthcare supply chain is a network made up of various systems, processes, and
elements that function and interact seamlessly to offer healthcare services and products …

Risk prediction model of clinical mastitis in lactating dairy cows based on machine learning algorithms

W Luo, Q Dong, Y Feng - Preventive Veterinary Medicine, 2023 - Elsevier
Mastitis is the most common disease among dairy cows and is known to have negative
effects on both animal welfare and the profitability of dairy farms. Early detection of clinical …

Predicting physiological responses of dairy cows using comprehensive variables

H Shu, Y Li, J Bindelle, Z **, T Fang, M **ng… - … 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 …

[HTML][HTML] 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 …