<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In modern animal husbandry, the application of 5G technology opens a new era of farming management, especially in intelligent farming. The high-speed and low-latency communication characteristics make remote monitoring, data transmission, and thoughtful decision-making possible, significantly improving breeding efficiency and management. It has great potential for monitoring animal health, preventing and controlling diseases, and improving production efficiency. This paper explores the application of 5G technology in an intelligent farming management platform and its key technologies. By analyzing the needs of smart farming, we clarify the key application areas of 5G technology. To identify sick pigs, measure their weight accurately using binocular vision technology, and combine with machine learning algorithms, the YOLO v3 algorithm is utilized. The accuracy of sick pig identification based on YOLO v3 reaches 98%, the error of pig weight measurement is controlled within ±2%, and the real-time data transmission and processing realized by 5G technology significantly improves the efficiency of disease prevention and control.5G technology can effectively support the efficient operation of the intelligent farming platform, which is of great significance to enhance the level of farming management and promote the sustainable development of the animal husbandry industry.</p>
</abstract>

In modern animal husbandry, the application of 5G technology opens a new era of farming management, especially in intelligent farming. The high-speed and low-latency communication characteristics make remote monitoring, data transmission, and thoughtful decision-making possible, significantly improving breeding efficiency and management. It has great potential for monitoring animal health, preventing and controlling diseases, and improving production efficiency. This paper explores the application of 5G technology in an intelligent farming management platform and its key technologies. By analyzing the needs of smart farming, we clarify the key application areas of 5G technology. To identify sick pigs, measure their weight accurately using binocular vision technology, and combine with machine learning algorithms, the YOLO v3 algorithm is utilized. The accuracy of sick pig identification based on YOLO v3 reaches 98%, the error of pig weight measurement is controlled within ±2%, and the real-time data transmission and processing realized by 5G technology significantly improves the efficiency of disease prevention and control.5G technology can effectively support the efficient operation of the intelligent farming platform, which is of great significance to enhance the level of farming management and promote the sustainable development of the animal husbandry industry.

Research on Key Technologies of Smart Breeding Platform Based on 5G

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on Key Technologies of Smart Breeding Platform Based on 5G"}

In modern animal husbandry, the application of 5G technology opens a new era of farming management, especially in intelligent farming. The high-speed and...

Research on Key Technologies of Smart Breeding Platform Based on 5G

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 10. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0818

Schlüsselwörter
5G technology, Smart farming, YOLO v3 algorithm, Binocular vision

© 2024 Wen Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Key Technologies of Smart Breeding Platform Based on 5G

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 10. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0818

Schlüsselwörter5G technology, Smart farming, YOLO v3 algorithm, Binocular vision

© 2024 Wen Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
5G technology, Smart farming, YOLO v3 algorithm, Binocular vision