[ISTp1-3] Combining Deep Learning Detection Technology and Chicken Comb Color Quantification System for Chicken Health Assessment
Deep learning detection technology, Chicken comb color, Health assessment
This research applies deep-learning detection techniques to identify chicken combs in commercial poultry houses. The detection model's precision achieves 90%. Calculating color value in CIE Lab color space and using 2.5 standard deviations as the threshold can evaluate the health condition of chickens. The accuracy rate reaches 94%.