RUMICAM: A New Device for Cattle Rumination Analysis | Zendy

Gilberto de Jesus de Oliveira | Zendy; Milena Carmona | Zendy; Julia Pistori | Zendy; Patricia De Oliveira | Zendy; R. Mateus | Zendy; Geazy Vilharva Menezes | Zendy; Vanessa Weber | Zendy; Cleonice Le Bourlegat | Zendy; Hemerson Pistori | Zendy

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RUMICAM: A New Device for Cattle Rumination Analysis

Author(s) -

Gilberto de Jesus de Oliveira,

Milena Carmona,

Julia Pistori,

Patricia De Oliveira,

R. Mateus,

Geazy Vilharva Menezes,

Vanessa Weber,

Cleonice Le Bourlegat,

Hemerson Pistori

Publication year - 2020

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/wvc.2020.13487

Subject(s) - rumination , metric (unit) , computer science , artificial intelligence , deep learning , software , support vector machine , livestock , machine learning , psychology , engineering , cognition , ecology , biology , operations management , neuroscience , programming language

Rumination may reveal important behavioral aspects of livestock animals and has been increasingly studied using new sensors technologies. In this work a new device was developed to collect close-up videos from the animal mouth during the rumination period. Using shallow and deep machine learning techniques, a software that classifies the basic mouth movements from these images has also been developed. A baseline performance for this equipment has been established using the Fscore metric. SVM achieved the highest F-score of 79.3% for the shallow learning approach. The best F-score using deep learning was 75% using VGG16.

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