Pig aggression classification using CNN, Transformers and Recurrent Networks

no code implementations • 13 Mar 2024 • Junior Silva Souza, Eduardo Bedin, Gabriel Toshio Hirokawa Higa, Newton Loebens, Hemerson Pistori

Thus, the development of applications can assist breeders in making decisions to improve production performance and reduce costs, once the animal behavior is analyzed by humans and this can lead to susceptible errors and time consumption.

Classification Video Classification

Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring

no code implementations • 13 Mar 2024 • Eduardo Bedin, Junior Silva Souza, Gabriel Toshio Hirokawa Higa, Alexandre Pereira, Charles Kiefer, Newton Loebens, Hemerson Pistori

The aim of this paper is to evaluate the use of D-CNN (Deep Convolutional Neural Networks) algorithms to classify pig body conditions in normal or not normal conditions, with a focus on characteristics that are observed in sanitary monitoring, and were used six different algorithms to do this task.