Machine Learning Techniques for Animal Health Diagnosis and Feature Analysis

This comparison identify and compare existing works deploying machine learning techniques for animal behavior analysis and health diagnosis. The highlighted works focus on Pigs, Hens, Bees, and Cattles, studied under varying experimental and real-world setups. Several features derived from time series data from digital videos, and images captured with diverse camera types, have been used in the analytic and predictive studies. This compilation gives an insight into the progress in literature in recent times, and can serve as a motivation for future explorations in the domain.