A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION

5 citations as recorded by crossref.

1. AN IMPROVED RT-DETR FOR STABLE AND REAL-TIME DEFECTIVE EGG DETECTION IN EDGE COMPUTING ENVIRONMENTS F. TANG et al. https://doi.org/10.35633/inmateh-78-52
2. Deep Learning Algorithm as an Alternative of Automatic Classification of Dirty Eggs P. Setiaji et al. https://doi.org/10.1051/e3sconf/202344802059
3. A cost-effective prototype for egg crack detection and labeling with a comprehensive review of existing methods E. Navarro et al. https://doi.org/10.1007/s44187-025-00604-2
4. Eggshell Crack Classification Using a Hybrid Texture-Color Descriptor with Machine Learning Methods A. Setiawan et al. https://doi.org/10.48084/etasr.15450
5. Benchmarking Lightweight YOLO Architectures for Real-Time Eggshell Defect Detection Toward Augmented-Reality Inspection in Poultry Supply Chains A. Miski https://doi.org/10.1109/ACCESS.2026.3693963