[ISTp1-3]Combining Deep Learning Detection Technology and Chicken Comb Color Quantification System for Chicken Health Assessment
*Hsiu-Yun Hu1, Chia-Jung Chang1, Kuang-Wen Hsieh1, Yao-Chuan Tsai1(1. National Chung Hsing University (Taiwan))
Keywords:
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%.