[en] Monitoring livestock feeding behavior may help assess animal welfare and nutritional status, and to optimize pasture management. The need for continuous and sustained monitoring requires the use of automatic techniques based on the acquisition and analysis of sensor data. This work describes an open dataset of acoustic recordings of the foraging behavior of dairy cows. The dataset includes 708 h of daily records obtained using unobtrusive and non-invasive instrumentation mounted on five lactating multiparous Holstein cows continuously monitored for six non-consecutive days in pasture and barn. Labeled recordings precisely delimiting grazing and rumination bouts are provided for a total of 392 h and for over 6,200 ingestive and rumination jaw movements. Companion information on the audio recording quality and expert-generated labels is also provided to facilitate data interpretation and analysis. This comprehensive dataset is a useful resource for studies aimed at exploring new tools and solutions for precision livestock farming.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Martinez-Rau, Luciano S ; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina. luciano.martinezrau@miun.se ; Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden. luciano.martinezrau@miun.se
Chelotti, José ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS) ; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
Ferrero, Mariano ; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
Utsumi, Santiago A; W.K. Kellogg Biological Station and Department of Animal Science, Michigan State University, East Lansing, USA ; Department of Animal and Range Science, New Mexico State University, Las Cruces, USA
Planisich, Alejandra M; Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Santa Fe, Argentina
Vignolo, Leandro D ; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
Giovanini, Leonardo L; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
Rufiner, H Leonardo ; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina ; Laboratorio de Cibernética, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Entre Ríos, Argentina
Galli, Julio R; Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Santa Fe, Argentina ; Instituto de Investigaciones en Ciencias Agropecuarias de Rosario, IICAR, UNR-CONICET, Santa Fe, Argentina
Language :
English
Title :
Daylong acoustic recordings of grazing and rumination activities in dairy cows.
USDA NIFA - United States. Department of Agriculture. National Institute of Food and Agriculture UNL - Universidad Nacional del Litoral CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas UNR - Universidad Nacional de Rosario
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