Farm Animal Emotions Detection and Analysis

Artificial Intelligence in Investigation of Farm Animal’s Affective States – Professor Suresh Neethirajan gave an invited talk on July 19, 2021 in the First International Workshop on Research Methods in Animal Emotion Analysis (RM4AEA).

Measuring emotions and moods of farm animals is the key in enabling the development of platforms for enhancing animal welfare. Current manual methods of determining individual animals’ affective states through behavioral analysis or tests such as judgement bias or cognitive assessment is not only time consuming but also prone to error due to subjectivity, and often not scalable for large groups of animals. Sensor technologies offers ways to objectively measure and monitor emotions of farm animals in an individual level and at a herd/flock level.