openChewBite

Accurate measurements of feeding behavior are essential for a reliable management and research of grazing ruminants. Monitoring grazing and rumination activities can indicate animals’ health and welfare, because ruminants have a daily chewing requirement to maintain a healthy rumen environment. In this application we propose novel methods to analyze and automatically recognize sound signals of chewing and biting in cows and sheep, including pasture species identification and dry matter intake estimation. These methods use appropriate acoustic representations and ad hoc statistical modeling for automatically segmenting and classifying acoustic ingestive behavior. Acoustic monitoring provides the most accurate quantification of chewing, and could be developed into a routine method to monitor animals like dairy cows, which are subject to the stresses of extremely high productivity.

Database

Audio recordings dataset of grazing jaw movements in dairy cattle

GitLab

openChewBite in GitLab

Publications

An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle    

J. O. Chelotti, S. R. Vanrell, L. Rau, J. Galli, A. M. Planisich, S.A Utsumi, D. H. Milone, L. Giovanini, H. L. Rufiner

Computers and Electronics in Agriculture, Volume 173 – 2020

Audio recordings dataset of grazing jaw movements in dairy cattle    

S. R. Vanrell, J. O. Chelotti, L. A. Bugnon, H. L. Rufiner, D. H. Milone, E. Laca, J. Galli

Data in Brief, Volume 30 – 2020

Discriminative power of acoustic features for jaw movement classification in cattle and sheep    

J. Galli, D. H. Milone, C. Cangiano, C. E. Martínez, E. Laca, J. O. Chelotti, H. L. Rufiner

Bioacoustics, page 1-15 – 2019

A pattern recognition approach for detecting and classifying jaw movements in grazing cattle.    

J. O. Chelotti, S. R. Vanrell, J. Galli, L. Giovanini, H. L. Rufiner

Computers and Electronics in Agriculture, Volume 145, page 83–91 – 2018

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle    

S. R. Vanrell, J. O. Chelotti, J. Galli, S.A Utsumi, L. Giovanini, H. L. Rufiner, D. H. Milone

Computers and Electronics in Agriculture, Volume 151, page 392–402 – 2018

Estimación del consumo en rumiantes en pastoreo utilizando redes neuronales artificiales    

M. Uhrig, J. Galli, H. L. Rufiner, D. H. Milone

Revista Eletrônica Argentina-Brasil de Tecnologias da Informação e da Comunicação (REABTIC) – 2018

Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals    

Nestor N. Deniz, J. O. Chelotti, J. Galli, A. M. Planisich, M. Larripa, H. L. Rufiner, L. Giovanini

Computers and Electronics in Agriculture, Volume 138, page 167–174 – 2017

Estimación del consumo en rumiantes en pastoreo utilizando redes neuronales artificiales   

M. Uhrig, J. Galli, H. L. Rufiner, D. H. Milone

9no Congreso de AgroInformática (CAI 2017) – 46 JAIIO – 2017

Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle    

J. Galli, C. Cangiano, M. A. Pece, M. Larripa, D. H. Milone, S.A Utsumi, E. Laca

Animal – 2017

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle    

J. O. Chelotti, S. R. Vanrell, D. H. Milone, S.A Utsumi, J. Galli, H. L. Rufiner, L. Giovanini

Computers and Electronics in Agriculture, Volume 127, Number 64–75 – 2016

Algoritmo para el monitoreo acústico en tiempo real de la actividad alimenticia del ganado bovino   

J. O. Chelotti, S. R. Vanrell, D. H. Milone, S.A Utsumi, J. Galli, H. L. Rufiner, L. Giovanini

VIII Congreso Argentino de AgroInformática (CAI-2016) – 45 JAIIO, page 216–217 – 2016

Evaluation of sound-based detection of rumination in grazing dairy cows.   

S.A Utsumi, J. Galli, D. H. Milone, H. L. Rufiner, L. Giovanini

ASAS-ADSA Joint Annual Meeting – jul 2015

3D acceleration for heat detection in dairy cows   

S. R. Vanrell, J. O. Chelotti, J. Galli, H. L. Rufiner, D. H. Milone

Congreso Argentino de Agroinformática (CAI 2014) – 43º JAIIO, page 121–134 – 2014

Automatic recognition of ingestive sounds of cattle based on hidden Markov models.    

D. H. Milone, J. Galli, C. Cangiano, H. L. Rufiner, E. Laca

Computers and Electronics in Agriculture, Volume 87, page 51–55 – sep 2012

Acoustic monitoring of short-term ingestive behaviour and intake in grazing sheep    

J. Galli, C. Cangiano, D. H. Milone, E. Laca

Livestock Science, Volume 140, Number 1, page 32–41 – 2011