TY - JOUR
T1 - Acoustic description of the soundscape of a real-life intensive farm and its impact on animal welfare
T2 - A preliminary analysis of farm sounds and bird vocalisations
AU - Ginovart-Panisello, Gerardo José
AU - Alsina-Pagès, Rosa Ma
AU - Sanz, Ignasiiriondo
AU - Monjo, Tesapanisello
AU - Prat, Marcel Call
N1 - Funding Information:
This research has been co-financed by CealvetSLu and Ministry of Education. Gerardo Ginovart-Panisellowould like to thank Administration of the Generalitat of Catalunya for the grant Collaboration scholarships for students in university departments for the academic year 2019–2020 (BOE núm. 156, 1 July 2019). Acknowledgments: The authors would like to thank BonAreaAgrupa who carries out and controls all the feeding, breeding, and feeding of the animals, the production of products, the logistics, and direct sales up to the final consumer; all without any intermediary and with a complete and unique vertical integration model. We would also like to thanks VicençReñéSiuraneta for his knowledge and allowing us to study his commercial chicken farm, and for all the help during the process.
Publisher Copyright:
© 2020 by the authors.Licensee MDPI, Basel, Switzerland.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Poultry meat is the world’s primary source of animal protein due to low cost and is widely eaten at a global level. However, intensive production is required to supply the demand although it generates stress to animals and welfare problems, which have to be reduced or eradicated for the better health of birds. In this study, bird welfare is measured by certain indicators: CO2, temperature, humidity, weight, deaths, food, and water intake. Additionally, we approach an acoustic analysis of bird vocalisations as a possible metric to add to the aforementioned parameters. For this purpose, an acoustic recording and analysis of an entire production cycle of an intensive broiler Ross 308 poultry farm in the Mediterranean area was performed. The acoustic dataset generated was processed to obtain the Equivalent Level (Leq ), the mean Peak Frequency (PF), and the PF variation, every 30 min. This acoustical analysis aims to evaluate the relation between traditional indicators (death, weight, and CO2 ) as well as acoustical metrics (equivalent level impact (Leq ) and Peak Frequency) of a complete intensive production cycle. As a result, relation between CO2 and humidity versus Leq was found, as well as decreases in vocalisation when the intake of food and water was large.
AB - Poultry meat is the world’s primary source of animal protein due to low cost and is widely eaten at a global level. However, intensive production is required to supply the demand although it generates stress to animals and welfare problems, which have to be reduced or eradicated for the better health of birds. In this study, bird welfare is measured by certain indicators: CO2, temperature, humidity, weight, deaths, food, and water intake. Additionally, we approach an acoustic analysis of bird vocalisations as a possible metric to add to the aforementioned parameters. For this purpose, an acoustic recording and analysis of an entire production cycle of an intensive broiler Ross 308 poultry farm in the Mediterranean area was performed. The acoustic dataset generated was processed to obtain the Equivalent Level (Leq ), the mean Peak Frequency (PF), and the PF variation, every 30 min. This acoustical analysis aims to evaluate the relation between traditional indicators (death, weight, and CO2 ) as well as acoustical metrics (equivalent level impact (Leq ) and Peak Frequency) of a complete intensive production cycle. As a result, relation between CO2 and humidity versus Leq was found, as well as decreases in vocalisation when the intake of food and water was large.
KW - Bird well-fare
KW - Farm management noise
KW - Food and water intake
KW - L
KW - Poultry farm
KW - Stress
KW - Vocalisation frequency
KW - Weight
UR - http://www.scopus.com/inward/record.url?scp=85089666129&partnerID=8YFLogxK
U2 - 10.3390/s20174732
DO - 10.3390/s20174732
M3 - Article
C2 - 32825767
AN - SCOPUS:85089666129
SN - 1424-8220
VL - 20
SP - 1
EP - 22
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 17
M1 - 4732
ER -