Research Precision livestock farming

Precision livestock farming consists in the application of information and communication technologies to continuously monitor each animal in a farm, in a fully automatic way. Retrieved information helps in management to fulfil the basic health and welfare requirements of livestock, to early detect problems, and to improve the efficiency of production systems. Many physical variables can be monitored using sensors like microphones, thermometer, accelerometers, inertial measurement units, among others. Data provided by the sensors need to be analyzed by ad-hoc algorithms to process data and retrieve the information to help in the management decisions.
The aim of this research line is to design, develop and implement algorithms based on signal processing and pattern recognition techniques for: i) animal foraging monitoring and ii) heat detection.

Team members

Leonardo Giovanini
Leonardo Rufiner
José Chelotti
Constanza Quaglia
Juan Carrique
Luciano Martinez Rau
Leandro Vignolo
Mariano Ferrero

Former members

Diego Milone
Sebastián Vanrell

Collaborators

Galli, Julio (Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Argentina)
Alex Tomassetti (Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Argentina)
Gabriel Zurbriggen (Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Argentina)
Utsumi, Santiago (W.K. Kellogg Biological Station and Department of Animal Science, Michigan State University, United States)
Planisich; Alejandra (Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Argentina)

Web demos

BUFAR: An online algorithm to extract detailed information of foraging behavior in grazing cattle.

RAFAR: A regularity-based algorithm designed for long-term analysis of foraging behavior in grazing cattle.

NRFAR: Algorithm designed to recognize foraging behavior of cattle in free-grazing environments. It analyzes a sound recording to recognize jaw-movement events and foraging activities.

Chewbite web: Foraging activity recognizers BUFAR and RAFAR for grazing cattle.

OpenChewBite: Framework to monitor the feeding behavior of livestock in free-ranging conditions.

Timeline

Timeline: Research group timeline .

Databases

Audio recordings dataset of grazing jaw movements in dairy cattle
Daylong acoustic recordings of grazing and rumination activities in dairy cows

Selected publications

J. O. Chelotti, S. R. Vanrell, L. Rau, J. Galli, S.A Utsumi, A. M. Planisich, S. Almirón, D. H. Milone, L. Giovanini, H. L. Rufiner
Biosystems Engineering, Volume 229, page 69-84 – 2023
L. Rau, J. O. Chelotti, M. Ferrero, J. Galli, S.A Utsumi, A. M. Planisich, L. D. Vignolo, L. Giovanini, H. L. Rufiner
Scientific Data, Volume 10, page 782 – 2023
L. Rau, V. Adın, L. Giovanini, B. Oelmann, S. Bader
2023 IEEE Sensors Applications Symposium (SAS), page 1–6 – 2023
L. Rau, M. Weißbrich, G. Payá-Vayá
Journal of Signal Processing Systems, Volume 95, Number 4, page 407–424 – 2023
M. Ferrero, L. D. Vignolo, S. R. Vanrell, L. Rau, J. O. Chelotti, J. Galli, L. Giovanini, H. L. Rufiner
Engineering Applications of Artificial Intelligence, Volume 121 – 2023
Rau, J. O. Chelotti, S. R. Vanrell, J. Galli, S.A Utsumi, A. M. Planisich, H. L. Rufiner, L. Giovanini
Computers and Electronics in Agriculture, Elsevier, Volume 192 – 2022
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
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
L. Rau, J. O. Chelotti, S. R. Vanrell, L. Giovanini
2020 IEEE International Conference on Industrial Technology (ICIT), page 771–776 – 2020
J. Galli, D. H. Milone, C. Cangiano, C. E. Martínez, E. Laca, J. O. Chelotti, H. L. Rufiner
Bioacoustics, Volume 29, Number 5, page 602–616 – 2020
L. Rau, Nestor N. Deniz, J. O. Chelotti, L. Giovanini, P. Kler
IX Congreso de Microelectrónica Aplicada (UEA2018) – 2018
J. O. Chelotti, S. R. Vanrell, J. Galli, L. Giovanini, H. L. Rufiner
Computers and Electronics in Agriculture, Volume 145, page 83–91 – 2018
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
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
L. Giovanini, H. L. Rufiner, D. H. Milone, J. Galli, J. O. Chelotti, S. R. Vanrell
Technical Report , UNL, CONICET, UNR – dec 2016
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
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
D. H. Milone, H. L. Rufiner, J. Galli, L. Giovanini
Technical Report , UNL, CONICET, UNR – may 2015
L. Giovanini, H. L. Rufiner, D. H. Milone, J. Galli, J. O. Chelotti, S. R. Vanrell
Technical Report , UNL, CONICET, UNR – dec 2015
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
J. O. Chelotti, C. H. Arrasin, S. R. Vanrell, H. L. Rufiner, L. Giovanini
Congreso Argentino de Agroinformática (CAI 2014) – 43º JAIIO, page 135–149 – 2014
D. H. Milone, J. Galli, C. Cangiano, H. L. Rufiner, E. Laca
Computers and Electronics in Agriculture, Volume 87, page 51–55 – sep 2012
D. H. Milone, H. L. Rufiner, J. Galli, E. Laca, C. Cangiano
Computers and Electronics in Agriculture, Volume 65, Number 2, page 228–237 – 2009