03 Aug 2026 David Corredor
https://avinews.com/en/piyikai-ai-chick-sexing-breakthrough/
A new AI technology for chick sexing , developed by FAST UB lecturers, represents a breakthrough in poultry farming by using AI to identify the sex of day‑old chicks, offering a humane, efficient, and scalable alternative to traditional methods. This innovation has the potential to improve hatchery operations and reducing costs.
Introduction: The Challenge of Chick Sexing
Sex identification in day‑old chicks is a critical step in poultry production, traditionally performed manually by trained specialists. This process is labor‑intensive, costly, and often prone to errors. Moreover, conventional methods raise ethical concerns due to the culling of male chicks in layer industries. An AI‑based technology developed by FAST UB lecturers, aims to address these challenges by automating chick sexing through advanced image recognition and machine learning1.
Innovation
By training neural networks on large datasets of chick images, the system can classify gender. This approach builds on recent advances in poultry AI models such as YMAD and YBEDI, which employ feature fusion and multi‑scale analysis for efficient gender classification2.
Benefits for Hatchery Operations
The adoption offers several advantages:
- Efficiency: Automated sexing reduces reliance on human expertise, cutting labor costs.
- Accuracy: AI models minimize classification errors, ensuring reliable flock management.
- Animal Welfare: By enabling early and precise sexing, reduces unnecessary handling and supports ethical practices in poultry farming.
Future Prospects
This development aligns with global efforts to integrate smart agricultural technologies into food production. Future improvements may include:
- Integration with hatchery automation systems.
- Expansion to other poultry species.
- Real‑time monitoring and predictive analytics for flock management.
Such advancements could position this new technology as a cornerstone of sustainable poultry farming, particularly in regions like Latin America where poultry production is a major contributor to food security.
Conclusion
AI can revolutionize agriculture by solving long‑standing challenges in chick sex identification. By combining efficiency, accuracy, and ethical responsibility, this innovation has the potential to redefine hatchery operations and set new standards for sustainable poultry production worldwide.