About the Guest
Eric Psota is the Digital Innovation Manager at PIC North America. Since joining in 2021, he has been responsible for developing advanced technologies for digital phenotyping using computer vision and machine learning. Specifically, he specializes in multi-object tracking, pose estimation, animal identification, anomaly detection, real-time systems, and edge computing. Prior to joining PIC, he was a researcher at the University of Nebraska-Lincoln, where he remains on the faculty as an adjunct professor.
What can you expect to learn from this episode of Popular Pig?
- How digital phenotyping combines human expertise and AI to improve consistency in evaluating pigs.
- The challenges of deploying technology in barns, from environmental factors to connectivity issues.
- How improved phenotyping increases heritability and drives lasting genetic improvements.
- The potential of behavioral phenotyping to enhance animal welfare and reduce harmful traits like tail-biting.
- How advancements in edge computing and AI are shaping the future of pork production.
