Assessing the motor activity of chickens based on artificial intelligence technology

Abstract

The article describes an approach to automating the process of analyzing video recordings of bird behavior using artificial intelligence methods, with the aim of increasing production efficiency through the early detection of behavioral change markers in chickens. Currently, agricultural enterprises have a need for automatic assessment of the condition of livestock and poultry to identify signs of stress at an early stage. This approach will allow for minimizing losses and improving production indicators. In turn, the application of deep learning models will enhance the effectiveness of identifying animal behavior markers that may not be detected by a facility operator.