Search: id:"swepub:oai:DiVA.org:miun-49642" >
Real-Time Acoustic ...
Real-Time Acoustic Monitoring of Foraging Behavior of Grazing Cattle Using Low-Power Embedded Devices
-
- Martinez Rau, Luciano (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
-
- Adin, Veysi (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
-
- Giovanini, Leonardo Luis (author)
- Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
-
show more...
-
- Oelmann, Bengt (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
-
- Bader, Sebastian, 1984- (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
-
show less...
-
(creator_code:org_t)
- IEEE conference proceedings, 2023
- 2023
- English.
-
In: 2023 IEEE Sensors Applications Symposium (SAS). - : IEEE conference proceedings. - 9798350323078
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- Precision livestock farming allows farmers to optimize herd management while significantly reducing labor needs. Individualized monitoring of cattle feeding behavior offers valuable data to assess animal performance and provides valuable insights into animal welfare. Current acoustic foraging activity recognizers achieve high recognition rates operating on computers. However, their implementations on portable embedded systems (for use on farms) need further investigation. This work presents two embedded deployments of a state-of-the-art foraging activity recognizer on a low-power ARM Cortex-M0+ microcontroller. The parameters of the algorithm were optimized to reduce power consumption. The embedded algorithm processes masticatory sounds in real-time and uses machine-learning techniques to identify grazing, rumination and other activities. The overall classification performance of the two embedded deployments achieves an 84% and 89% balanced accuracy with a mean power consumption of 1.8 mW and 12.7 mW, respectively. These results will allow this deployment to be integrated into a self-powered acoustic sensor with wireless communication to operate autonomously on cattle.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- embedded system
- foraging behavior
- low-power micro-controller
- precision livestock farming
- real-time acoustic processing
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database