A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence
Á Michelena, Ó Fontenla-Romero… - Logic Journal of the …, 2024 - academic.oup.com
The demand for meat and dairy products is expected to rise significantly in the current
demographic and economic growth context. Concurrently, various factors, including financial …
demographic and economic growth context. Concurrently, various factors, including financial …
[HTML][HTML] Is Deep Learning useful for decision making in pig production?
Y Bao, P Llagostera, LM Plà-Aragonès - Internet of Things, 2024 - Elsevier
Numerous recent papers based on deep learning (DL) have been published covering a
wide range of applications to pig production. These applications provide information …
wide range of applications to pig production. These applications provide information …
Updated method of estimating heat load for grazing dairy cattle
Understanding heat stress in dairy cows is important for ensuring their welfare and
productivity. While the Temperature Humidity Index is commonly used to determine heat …
productivity. While the Temperature Humidity Index is commonly used to determine heat …
Adapting East and Southern Africa's livestock to climate change: a decision making under deep uncertainty-based approach for effective actions
IA Mohamed, M Schaeffer, F Baarsch - Climate and Development, 2024 - Taylor & Francis
Livestock farmers are increasingly challenged to adapt to the impacts of climate change,
necessitating the selection of adaptation strategies to effectively mitigate risks and protect …
necessitating the selection of adaptation strategies to effectively mitigate risks and protect …
Predictive models for heat stress assessment in holstein dairy heifers using infrared thermography and machine learning
ALV Pereira, LS Martello, JCD Campos… - Tropical Animal Health …, 2024 - Springer
Heat stress is a condition that impairs the animal's productive and reproductive performance,
and can be monitored by physiological and environmental variables, including body surface …
and can be monitored by physiological and environmental variables, including body surface …
[PDF][PDF] 肉牛生理指标智能监测技术研究进展与展望
张帆， 周梦婷， 杨振刚， 刘民泽， 冯文晓， 唐湘方… - 智慧农业, 2024 - smartag.net.cn
目的/意义随着自动化, 数智化技术的快速发展及其相关技术在肉牛养殖上的逐步推广利用,
肉牛的智能化养殖技术的研究也取得了一定的进步. 为进一步提高中国肉牛养殖的智能化水平 …
肉牛的智能化养殖技术的研究也取得了一定的进步. 为进一步提高中国肉牛养殖的智能化水平 …
[PDF][PDF] An approach-based machine learning and automated thermal images to predict the dark-cutting incidence in cattle management of healthcare supply chain
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 …
elements that function and interact seamlessly to offer healthcare services and products …
Advancing heat stress detection in dairy cows through machine learning and computer vision
H Shu - 2024 - search.proquest.com
Heat stress detection in dairy cows has long been connected with production loss. However,
the reduction in milk yield lags behind the exposure to heat stress events for about two days …
the reduction in milk yield lags behind the exposure to heat stress events for about two days …
Research Advances and Prospect of Intelligent Monitoring Systems for the Physiological Indicators of Beef Cattle
Z Fan, Z Mengting, X Benhai, Y Zhengang… - Smart …, 2024 - smartag.net.cn
[Significance] The beef cattle industry plays a pivotal role in the development of China's
agricultural economy and the enhancement of people's dietary structure. However, there …
agricultural economy and the enhancement of people's dietary structure. However, there …
Digitalisation opportunities for livestock welfare monitoring with a focus on heat stress
Rising global temperatures due to climate change pose an increased risk of heat stress (HS)
in livestock, which requires accurate prediction methods to improve animal welfare and …
in livestock, which requires accurate prediction methods to improve animal welfare and …