Chick Sexing on Face Part
We introduce a novel approach to chick gender classification at an early age, an essential yet labor-intensive task. By integrating Machine Learning (ML) and Computer Vision (CV) technologies we developed a semi-automated model capable of accurately detect and identify chick gender through facial feature analysis. This innovative method promises to revolutionize chick sexing by offering a rapid, non-invasive solution, significantly reducing the reliance on manual labor and specialized skills. This advancement not only accelerates the sexing process but also enhances accuracy, facilitating improved resource management and operational efficiency within the poultry sector. This sets a new standard for gender determination practices in the industry.
