Interpretive Summary: Adoption of computer vision algorithms to monitor respiratory rates in dairy cattle

By: Paula Freitas Curti, Andre Moreira Souza, Diogenes Lodi Pinto, Alexandre Ruiz, Livia Kobayashi, Julio Cesar Balieiro, Aline Mello Castanheira, Elaine Parros Machado de Sousa, Francisco Palma Rennó, Ricardo Ventura

(Department of Animal Production and Animal Nutrition, University of Sao Paulo, Pirassununga, Brazil; Department of Computer Science (SCC) - Institute of Mathematical and Computer Sciences (ICMC), University of Sao Paulo, Sao Carlos, Brazil)

Respiratory Rate (RR) is an important physiological indicator for dairy cattle, providing insights into both herd and individual health, as well as responses to environmental factors like heat stress, thermo-resilience, and respiratory diseases. Our study explores Computer Vision algorithms to recognize the respiratory patterns of dairy cattle. The contributions of our work include the use of low-cost cameras and a promising application of spatiotemporal convolution models in precision livestock farming.