TY - CHAP
T1 - Factors associated with the adoption of different clusters of precision livestock farming technologies in pasture-based dairy systems
AU - Palma-Molina, P.
AU - Hennessy, T.
AU - O’Connor, A. H.
AU - Onakuse, S.
AU - O’Leary, N.
AU - Moran, B.
AU - Shalloo, L.
N1 - Publisher Copyright:
© ECPLF 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Precision livestock farming (PLF) technologies have been identified as important tools to improve the sustainability of dairy production systems due to perceived economic, social and environmental benefits. However, there is still limited information regarding the level of adoption of PLF technologies and the factors associated with PLF technology adoption in pasture-based dairy systems. The current research aimed to address this knowledge gap by using a nationally representative survey of dairy farms in a pasture-based dairy system. Firstly, we established the adoption rates of nine PLF technologies, and secondly, we determined the factors associated with the adoption of different PLF technology clusters (reproductive, grass, milking management technologies and automatic calf feeders). Four binomial logistic regressions were conducted to determine the factors associated the adoption of each PLF technology cluster. The results found that adoption rates varied widely, with the most adopted PLF technologies being those related to the milking process. Overall, PLF technology adoption is mostly influenced by herd size, proportion of hired labour and the age of farmers. However, the magnitude and direction of the influence of the factors in technology adoption differ depending on the type of PLF technology being investigated.
AB - Precision livestock farming (PLF) technologies have been identified as important tools to improve the sustainability of dairy production systems due to perceived economic, social and environmental benefits. However, there is still limited information regarding the level of adoption of PLF technologies and the factors associated with PLF technology adoption in pasture-based dairy systems. The current research aimed to address this knowledge gap by using a nationally representative survey of dairy farms in a pasture-based dairy system. Firstly, we established the adoption rates of nine PLF technologies, and secondly, we determined the factors associated with the adoption of different PLF technology clusters (reproductive, grass, milking management technologies and automatic calf feeders). Four binomial logistic regressions were conducted to determine the factors associated the adoption of each PLF technology cluster. The results found that adoption rates varied widely, with the most adopted PLF technologies being those related to the milking process. Overall, PLF technology adoption is mostly influenced by herd size, proportion of hired labour and the age of farmers. However, the magnitude and direction of the influence of the factors in technology adoption differ depending on the type of PLF technology being investigated.
KW - pasture-based dairy systems
KW - precision livestock farming technologies
KW - technology adoption
UR - https://www.scopus.com/pages/publications/85172395411
M3 - Chapter
AN - SCOPUS:85172395411
T3 - Precision Livestock Farming 2022 - Papers Presented at the 10th European Conference on Precision Livestock Farming, ECPLF 2022
SP - 576
EP - 583
BT - Precision Livestock Farming 2022 - Papers Presented at the 10th European Conference on Precision Livestock Farming, ECPLF 2022
A2 - Berckmans, Daniel
A2 - Oczak, Maciej
A2 - Iwersen, Michael
A2 - Wagener, Karen
PB - Organising Committee of the 10th European Conference on Precision Livestock Farming (ECPLF), University of Veterinary Medicine Vienna
T2 - 10th European Conference on Precision Livestock Farming, ECPLF 2022
Y2 - 29 August 2022 through 2 September 2022
ER -
