Application of Artificial Intelligence in Animal Nutrition and Feed Science

DOI

10.2991/978-2-38476-295-8_23How to use a DOI?

Keywords

Animal nutrition and feed science; Artificial intelligence; Integration

Abstract

Artificial Intelligence (AI) technology, as an important force in the emerging technological revolution and livestock industry revolution, plays a crucial role in the digitalization, informatization, and intelligence process of China’s livestock industry. The application of AI technology covers animal feed formulation and production management, animal feeding environment monitoring and regulation, animal health management, and has achieved initial success. AI achieves precise feed formulation through big data analysis and machine learning algorithms, improving nutritional levels and production efficiency; Sensors and IoT technology are used for real-time monitoring and regulation of the feeding environment, improving the animal growth environment; Biometric technology enables animal health monitoring and early warning, improving management level. At present, intelligent monitoring technology has been used in the welfare research of grazing sheep, mainly including key technologies such as audio analysis, visual detection, behavior monitoring, behavior feature recognition, satellite positioning, and drone cruising. Despite the challenges of multi perspective, multi-scale, multi scenario, and small sample size faced by smart animal husbandry, the application of AI technology in animal husbandry has significantly improved production efficiency and management level, demonstrating more significant advantages compared to traditional technologies.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Liu Can
PY  - 2024
DA  - 2024/10/21
TI  - Application of Artificial Intelligence in Animal Nutrition and Feed Science
BT  - Proceedings of the 4th International Conference on Public Administration, Health and Humanity Development (PAHHD 2024)
PB  - Atlantis Press
SP  - 187
EP  - 194
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-295-8_23
DO  - 10.2991/978-2-38476-295-8_23
ID  - Can2024
ER  -