Breakthrough in Pig Farming: Researchers Develop Multi-Objective Tracking Algorithm

Researchers from Fujian Agriculture and Forestry University have made significant progress in pig farming by developing a multi-objective tracking algorithm that enhances management efficiency and intelligence. The new method, called SDGTrack, improves tracking performance across various farming environments by adapting to different domains and integrating an optimized tracking strategy. This breakthrough has the potential to revolutionize pig farming practices worldwide.

Key Takeaways:

• SDGTrack, a multi-objective tracking algorithm, has been developed to enhance management efficiency and intelligence in pig farming.
• The algorithm improves tracking performance across various farming environments by adapting to different domains and integrating an optimized tracking strategy.
• SDGTrack achieved a MOTA score of 80.9%, an IDSW of 24, and an IDF1 score of 85.1% across various scenarios.
• The algorithm improved the MOTA and IDF1 scores by 16.7% and 33.3%, respectively, compared to the original CSTrack method.
• SDGTrack offers robust tracking capabilities in previously unseen farming environments, providing a strong technical foundation for monitoring pigs in different settings.
• The research has been funded by the Fujian Province Agricultural Key Core Technology Research Project.
• The study showed that the SDGTrack method can be used to track pigs in multiple scenarios, including daytime and nighttime scenes.

Statistics:

• MOTA score: 80.9%
• IDSW: 24
• IDF1 score: 85.1%
• Improvement in MOTA score: 16.7%
• Improvement in IDF1 score: 33.3%
• Reduction in ID switches: 94.6%

Sources:

• SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios. Animals, 2025,15(11):1543.
• Fujian Province Agricultural Key Core Technology Research Project.