The livestock sector is facing increasing pressure to develop more ‘climate-smart’ methods that can be used to prevent the onset of major diseases, whilst also monitoring the efficiency and environmental impact of livestock production. Advances in precision livestock farming provides a comprehensive review of recent advances in the development of precision livestock technologies to monitor the health and welfare of animals as well as key areas of production such as housing and feed efficiency. The collection includes chapters on monitoring key health issues such as mastitis, lameness and fertility together with areas such as milking and grazing management. Edited by a leading researcher in the field, Advances in precision livestock farming will be a standard reference for livestock scientists in universities and research centres, precision farming manufacturers, and government and private sector agencies involved in the regulation of new technologies to improve the health and welfare of livestock.
Audience: Livestock scientists in universities and research centres;precision farming manufacturers;government and private sector agencies involved in the regulation of new technologies
Audience: Livestock scientists in universities and research centres;precision farming manufacturers;government and private sector agencies involved in the regulation of new technologies
Table of Contents
Part 1 Data collection and analysis1. Developments in on-animal sensors for monitoring livestock: Mark Trotter, CQUniversity Institute for Future Farming Systems, Australia; Derek Bailey, New Mexico State University, USA; and Jaime Manning, Caitlin Evans, Diogo Costa, Elle Fogarty and Anita Chang, CQ University Institute for Future Farming Systems, Australia;
2. Developments in thermal imaging techniques to assess livestock health: A. L. Schaefer and N. J. Cook, University of Alberta, Canada;
3. Developments in acoustic techniques to assess livestock health: Erik Vranken, SoundTalks NV, Belgium and KU Leuven M3-BIORES - Measure, Model & Manage Bioresponses, Belgium; Daniel Berckmans, KU Leuven M3-BIORES - Measure, Model & Manage Bioresponses and BioRICS NV, Belgium; and Wim Buyens and Dries Berckmans, SoundTalks NV, Belgium;
4. Machine vision techniques to monitor behaviour and health in precision livestock farming: C. Arcidiacono and S. M. C. Porto, University of Catania, Italy;
5. Developments in activity and location technologies for monitoring cattle movement and behaviour: N. A. Lyons, NSW Department of Primary Industries, Australia; and S. Lomax, The University of Sydney, Australia;
6. Developments in data analysis for decision-making in precision livestock farming systems: Elaine van Erp-van der Kooij, HAS University of Applied Sciences, The Netherlands;
Part 2 Applications
7. Monitoring and control of livestock housing conditions using precision livestock farming techniques: Daniela Lovarelli and Marcella Guarino, University of Milan, Italy;
8. Developments in individual-animal feed efficiency monitoring systems for livestock: Ilan Halachmi and Ran Bezen, The Volcani Centre - Agriculture Research Organization (ARO) and Ben-Gurion University of the Negev, Israel; Assaf Godo, Harel Levit and Victor Bloch, The Volcani Centre - Agriculture Research Organization (ARO), Israel; and Yael Edan, Ben-Gurion University of the Negev, Israel;
9. Developments in automated systems for monitoring livestock health: mastitis: M. van der Voort and H. Hogeveen, Wageningen University & Research, The Netherlands;
10. Developments in automated systems for monitoring livestock health: lameness: Zoe E. Barker, University of Reading, UK; Nick J. Bell, University of Nottingham, UK; Jonathan R. Amory, Writtle University College, UK; and Edward A. Codling, University of Essex, UK;
11. Developments in automated monitoring of livestock fertility/pregnancy: Michael Iwersen and Marc Drillich, University of Veterinary Medicine Vienna, Austria;
12. Advances in robotic milking systems: Bernadette O’Brien and Deirdre Hennessy, Teagasc, Ireland;
13. Developments in monitoring grazing behaviour and automated grazing management in extensive systems: Dana L. M. Campbell, Gregory J. Bishop-Hurley, Caroline Lee and Ed Charmley, CSIRO, Australia
