Analysis of the Drinking Behavior of Beef Cattle Using Computer Vision.

ABSTRACT: Monitoring the drinking behavior of animals can provide important information for livestock farming, including the health and well-being of the animals. Measuring drinking time is labor-demanding and, thus, it is still a challenge in most livestock production systems. Computer vision technology using a low-cost camera system can be useful in overcoming this issue. The aim of this research was to develop a computer vision system for monitoring beef cattle drinking behavior. A data acquisition system, including an RGB camera and an ultrasonic sensor, was developed to record beef cattle drinking actions. We developed an algorithm for tracking the beef cattle's key body parts, such as head-ear-neck position, using a state-of-the-art deep learning architecture DeepLabCut. The extracted key poin

SUBMITTER: Islam MN 

PROVIDER: S-EPMC10526023 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature