College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China.
Jiangsu Province Engineering Laboratory of Modern Facility Agriculture Technology and Equipment, Nanjing 210031, China.
Comput Intell Neurosci. 2021 Sep 14;2021:2897879. doi: 10.1155/2021/2897879. eCollection 2021.
Broiler behavior is closely related to the breeding environment. Therefore, studying broiler behavior helps breeding farm workers to better carry out welfare breeding. In the breeding environment of yellow feather broilers, temperature, humidity, and ammonia concentration are the main factors that affect the behavior of the broilers. This study used a multichromatic aberration model to process the color images of yellow feather broilers to extract the activity feature of the broilers at different periods, utilized the Cb component of YCbCr color model and the b component of Lab color model to remove background litter in images, and employed the Q component of YIQ color model to remove the feeders and the drinkers from the image. The segmented images were constructed into an accumulator to generate a heat map of yellow feather broilers' activity. Then, the correlation between the activity and the temperature and humidity index (THI) and the correlation between the activity and ammonia concentration were explored. The experiment found that the activity of the broilers was significantly positively correlated with ammonia concentration ( < 0.05), indicating that the activity of yellow feather broilers increased with ammonia concentration ascending. Besides, the THI in the broiler chamber had a significant positive correlation with the ammonia data ( < 0.01), indicating that when the THI in the broiler chamber increases, the ammonia concentration rises. The research provides a direction for exploring the impact of THI and ammonia concentration on the performance of yellow feather broilers. At the same time, it provides a theoretical basis for the early warning and judgment of broiler breeding by farm workers in the future.
肉鸡的行为与饲养环境密切相关。因此,研究肉鸡的行为有助于饲养场工人更好地进行福利养殖。在黄羽肉鸡的饲养环境中,温度、湿度和氨浓度是影响肉鸡行为的主要因素。本研究使用多色像差模型处理黄羽肉鸡的彩色图像,以提取不同时期肉鸡的活动特征,利用 YCbCr 颜色模型的 Cb 分量和 Lab 颜色模型的 b 分量去除图像中的背景垫料,利用 YIQ 颜色模型的 Q 分量从图像中去除饲料器和饮水器。分割后的图像被构建到累加器中,生成黄羽肉鸡活动的热图。然后,探讨了活动与温度和湿度指数(THI)之间的相关性,以及活动与氨浓度之间的相关性。实验发现,肉鸡的活动与氨浓度呈显著正相关(<0.05),表明黄羽肉鸡的活动随着氨浓度的上升而增加。此外,鸡舍中的 THI 与氨数据呈显著正相关(<0.01),表明当鸡舍中的 THI 增加时,氨浓度上升。该研究为探索 THI 和氨浓度对黄羽肉鸡性能的影响提供了一个方向。同时,为未来饲养场工人对肉鸡养殖进行预警和判断提供了理论依据。