Research Progress and Prospect of Automation and Intelligent Technology in Beef Cattle Breeding Equipment
DOI:
https://doi.org/10.63313/AGR.4001Keywords:
Beef cattle breeding, Automation, Intelligentization, Physical sign detectionAbstract
With the rapid development of modern technology, the application of automation and intelligent technologies in the beef cattle breeding industry has become increasingly widespread. This paper provides a detailed overview of the current status of the beef cattle breeding industry and conducts an in-depth exploration of technological advancements in areas such as intelligent detection of beef cattle physical signs. The intelligent physical sign detection technology is conducive to real-time monitoring of the health status of beef cattle and enables early warning of diseases. Meanwhile, it looks ahead to the future development trends of automation and intelligent technologies for beef cattle breeding equipment, aiming to provide a reference for promoting the modernization and transformation and upgrading of China's beef cattle breeding industry, as well as facilitating the sustainable development of the beef cattle breeding sector.
References
[1] Su L ,Tomed S ,Sambuu O , et al. Application of ultrasonic imaging technology in beef cattle breeding management[J].Journal of Radiation Research and Applied Sciences, 2024, 17(4): 101167-101167.
[2] Wu Aiguo, Huang Minli Innovative Research on Beef Cattle Breeding Technology and Man-agement Model [J]. China Animal Health Care, 25,27(07):130-131.
[3] Pereira A D M ,Bungenstab J D ,Euclides B P V , et al. From Traditionally Extensive to Sus-tainably Intensive: A Review on the Path to a Sustainable and Inclusive Beef Farming in Brazil[J].Animals,2024,14(16):2340-2340.
[4] Liu Jinsong. Analysis of Technical Key Points of Large-scale Beef Cattle Breeding [J]. China Animal Husbandry,2024,(17):63-64.
[5] Thutwa K ,Nthupisang P ,Nkamane B T . Artificial insemination: Factors influencing its uti-lisation by beef cattle farmers in Southern and Ghanzi districts in Botswana[J].Journal of the Saudi Society of Agricultural Sciences,2024,23(5):327-332.
[6] Li Changwei. Beef Cattle Breeding Technology and Feeding Management Measures [J]. In-formation on Animal Husbandry and Veterinary Science,2025,(06):83-85.
[7] Munthohari R ,Asmaq N ,Marisa J , et al. Analysis of Beef Cattle Farmers Income in Dusun IV, Pergulaan Village, Sei Rampah District, Serdang Bedagai Regency, Indonesia[J].Asian Jour-nal of Advanced Research and Reports,2024,18(6):332-337.
[8] Hao Anqi, Wang Miao, Guo Jianan, et al. Problems and Optimization Measures in Beef Cattle Breeding [J]. Animal Husbandry Environment,2025,(14):124-125.
[9] Haag M ,Tourneau L J ,Marra R , et al. PSVI-7 Feedback optimization: an iterative, val-ue-added approach in a beef cattle breeding simulation[J].Journal of Animal Sci-ence,2019,97
[10] Chen Rundong Environmental Benefits and Technical Approaches of Resource Utilization of Beef Cattle Breeding Waste [J]. Animal Husbandry Environment,2025,(14):33-34.
[11] Iskandar I ,Fitrimawati F . The Effect of Demographic Factors on The Investment Decision in Beef Cattle Farming Using Profit Sharing Systems in West Sumatera[J].Jurnal Peternakan Indonesia,2019,21(2):176-182.
[12] Lv Lele.Design of Intelligent Cattle Breeding System Based on Digital Twin [D]. Inner Mon-golia University of Science and Technology,2025.
[13] Gai Mu Pu Li, CAI CAI. Research on Disease Prevention and Control Measures in Beef Cattle Breeding [J]. Information on Animal Husbandry and Veterinary Sci-ence,2024,(08):144-146.
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