Factors influencing the adoption of precision agricultural technologies: a review for policy implications
By Y. Tey, M. Brindal. Precision Agriculture, 2012
444 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Plant Science
View Paper: https://www.semanticscholar.org/paper/48fff09c57ffffdd00bff7e22040d45e26de850b
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In General Agricultural and Biological Sciences
- S. M. Pedersen
- K. Lind
- T. Tamirat
- D. Schimmelpfennig
- Y. Tey
- M. Brindal
- L. Klerkx
- Francisco Rovira-Más
In Plant Science
Citations in the corpus
- The relative importance of factors influencing the adoption of sustainable agricultural practices: a factor approach for Malaysian vegetable farmers (2013, methodology): “According to the reviews by Baumgart-Getz et al. (2012), Tey and Brindal (2012), Prokopy et al. (2008), Knowler and Bradshaw (2007), and Pannell et al. (2006), common factors that influence the adoption of SAPs can be split into six dimensions: socio-economic factors, agro-ecological factors,…”
- Dynamics and distribution of public and private research and extension roles for technological innovation and diffusion: Case studies of the implementation and adaptation of precision farming technologies (2017, background): “…systems globally are undergoing a ‘precision farming’ revolution through use of global positioning systems and the development of sensors to automate farm tasks and measure crop and animal performance (Busse et al., 2015; Jago et al., 2013; Kutter et al., 2011; Tey and Brindal, 2012).”
- Farm and operator characteristics affecting adoption of precision agriculture in Denmark and Germany (2018, methodology): “adoption or non-adoption of a technology), discrete choice models are employed, the commonly used estimation algorithms being probit and logit (Tey and Brindal 2012).”
- Farm Profits and Adoption of Precision Agriculture (2016, background): “A 2012 review of large-scale agriculture in countries with long-term PA experience found that many farm characteristics, beyond input use and output level, affected adoption of PA technologies and that the impacts of PA adoption on profits were mixed (Tey and Brindal, 2012).”