Dr. Dan Hamilton, Director of Product Performance at PIC, has unveiled a cutting-edge development in the use of artificial intelligence (AI) for the selection of gilts and boars. This innovative technology employs cameras and AI algorithms to analyze and predict the structural soundness and longevity of pigs in the herd, promising a revolution in livestock management.
The core of this advancement lies in the AI algorithm, which evaluates the stride length and joint angles of pigs. By analyzing these physical parameters, the AI can predict the potential longevity of gilts and boars, providing an objective, data-driven approach to selection that eliminates human bias. According to Dr. Hamilton, this method has increased structural soundness threefold compared to traditional selection techniques.
The predictive capability of this AI system means that PIC can offer a significant probability that selected gilts will survive multiple parities. This enhancement in selection precision not only improves herd longevity but also boosts overall productivity and profitability for swine producers.
In addition to selection, PIC is leveraging AI and camera technology to monitor pigs continuously within their pens. The system documents every movement of individual pigs 24 hours a day, providing a wealth of data on various behaviors and activities. Key metrics include:
Travel Distance: How far each pig moves within the pen.
Feeding and Drinking: The amount of time each pig spends eating and drinking.
Resting Time: Duration spent lying down.
This comprehensive monitoring allows for an in-depth understanding of each pig's daily routine and activity patterns.
The integration of behavioral data with performance metrics represents a significant advancement in pig selection. By combining detailed movement data with pedigree information, PIC can identify individual pigs that exhibit desirable behavioral characteristics linked to enhanced productivity. This holistic approach ensures that selection is based not only on physical attributes but also on how these traits correlate with performance outcomes.
Connecting behavioral data with production metrics allows PIC to refine the selection process further, ensuring that the chosen pigs are not only structurally sound but also exhibit behaviors conducive to better growth and efficiency.
The implementation of AI and camera technology in pig phenotyping marks a significant leap forward in livestock management. By providing a more accurate, unbiased method for selecting breeding stock, PIC is setting new standards for herd improvement. This technology promises to enhance the overall health, longevity, and productivity of pigs, delivering substantial benefits to swine producers.
By Andrew Bawden, Farms.com
14 июн 2024
