3d acceleration for heat detection in dairy cows

Accurate and reliable detection of heat in dairy cows is essential for a controlled reproduction and therefore, for maintaining milk production. Classical approaches like visual identification are no longer viable on large dairy herds. Several automated techniques of detection have been proposed, bu...

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Detalles Bibliográficos
Autores principales: Vanrell, Sebastián R., Chelotti, José O., Galli, Julio, Rufiner, Hugo Leonardo, Milone, Diego H.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
Ciencias Agrarias
COMPUTERS IN OTHER SYSTEMS
estrus recognition
dairy cattle
binnary classification
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42006
http://43jaiio.sadio.org.ar/proceedings/CAI/12.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-42006
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Ciencias Agrarias
COMPUTERS IN OTHER SYSTEMS
estrus recognition
dairy cattle
binnary classification
spellingShingle Ciencias Informáticas
Ciencias Agrarias
COMPUTERS IN OTHER SYSTEMS
estrus recognition
dairy cattle
binnary classification
Vanrell, Sebastián R.
Chelotti, José O.
Galli, Julio
Rufiner, Hugo Leonardo
Milone, Diego H.
3d acceleration for heat detection in dairy cows
topic_facet Ciencias Informáticas
Ciencias Agrarias
COMPUTERS IN OTHER SYSTEMS
estrus recognition
dairy cattle
binnary classification
description Accurate and reliable detection of heat in dairy cows is essential for a controlled reproduction and therefore, for maintaining milk production. Classical approaches like visual identification are no longer viable on large dairy herds. Several automated techniques of detection have been proposed, but expected results are only achieved by expensive or invasive methods, because practical methods are not reliable. We present a method that aims to be both practical and accurate. It is based on simple attributes extracted from 3D acceleration data and well known classifiers: multilayer perceptrons, support vector machines and decision trees. Results show promising detection ratios, above 90% in several configurations of the detection system. Best results are achieved with multilayer perceptrons. This information could be readily incorporated to the automated system in a dairy farm and help to improve its efficiency.
format Objeto de conferencia
Objeto de conferencia
author Vanrell, Sebastián R.
Chelotti, José O.
Galli, Julio
Rufiner, Hugo Leonardo
Milone, Diego H.
author_facet Vanrell, Sebastián R.
Chelotti, José O.
Galli, Julio
Rufiner, Hugo Leonardo
Milone, Diego H.
author_sort Vanrell, Sebastián R.
title 3d acceleration for heat detection in dairy cows
title_short 3d acceleration for heat detection in dairy cows
title_full 3d acceleration for heat detection in dairy cows
title_fullStr 3d acceleration for heat detection in dairy cows
title_full_unstemmed 3d acceleration for heat detection in dairy cows
title_sort 3d acceleration for heat detection in dairy cows
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42006
http://43jaiio.sadio.org.ar/proceedings/CAI/12.pdf
work_keys_str_mv AT vanrellsebastianr 3daccelerationforheatdetectionindairycows
AT chelottijoseo 3daccelerationforheatdetectionindairycows
AT gallijulio 3daccelerationforheatdetectionindairycows
AT rufinerhugoleonardo 3daccelerationforheatdetectionindairycows
AT milonediegoh 3daccelerationforheatdetectionindairycows
bdutipo_str Repositorios
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