عنوان انگلیسی مقاله:
Tracking and analysing social interactions in dairy cattle with real-time locating system and machine learning
ترجمه فارسی عنوان مقاله:
پیگیری و تجزیه و تحلیل تعاملات اجتماعی در گاوهای شیری با سیستم مکان یابی در زمان واقعی و یادگیری ماشین
Sciencedirect - Elsevier - Journal of Systems Architecture, 116 (2021) 102139: doi:10:1016/j:sysarc:2021:102139
There is a need for reliable and efficient methods for monitoring the activity and social behavior in cows, in order to optimize management in modern dairy farms. This research presents an embedded system that could track individual cows using Ultra-wideband technology. At the same time, social interactions between individuals around the feeding area were analyzed with a computer vision module. Detections of the dairy cows’ negative and positive interactions were performed on foreground video stream using a Long-term Recurrent Convolution Networks model. The sensor fusion system was implemented and tested on seven dairy cows during 45 days in an experimental dairy farm. The system performance was evaluated at the feeding area. The real-time locating system based on Ultra-wideband technology reached an accuracy with mean error 0.39 m and standard deviation 0.62 m. The accuracy of detecting the affiliative and agonistic social interactions reached 93.2%. This study demonstrates a potential system for monitoring social interactions between dairy cows.
Keywords: Ultra-wideband | Computer vision | Dairy cows | Social interactions | Machine learning