The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Drivers of Precision Agriculture Technologies Adoption: A Literature Review
Open accessAbstract
In this review, we identify the key drivers that affect the intention to adopt Precision Agriculture (PA) technologies. Research articles concerning the adoption of PA were collected and subdivided into two groups: (1) ex-post assessments that make use of utility-based models, and (2) ex-ante assessments that make use of predictive models. Principal classes of constructs were identified and utilized to interpret what factors promoted the use of PA technologies by farmers. Three classes of drivers influencing PA adoption are presented. This review confirms the necessity to focus on the design of an appropriated adoption process and on innovation's features.
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Davis, F. D., & Venkatesh, V. (2004) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.822468 · Cited by 582
Cited by
Precision farming at the nexus of agricultural production and the environment
Finger, R., Swinton, S. M., El Benni, N., & Walter, A. (2019) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100518-093929 · Cited by 539
Exploring the adoption of precision agricultural technologies: a cross regional study of EU farmers
Barnes, A. P., Soto, I., Eory, V., Beck, B., Balafoutis, A., Sánchez, B., Vangeyte, J., Fountas, S., van der Wal, T., & Gómez-Barbero, M. (2019) · Land Use Policy · doi:10.1016/j.landusepol.2018.10.004 · Cited by 494
Caffaro, F., Micheletti Cremasco, M., Roccato, M., & Cavallo, E. (2020) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2020.04.028 · Cited by 360
Newton, J. E., Nettle, R., & Pryce, J. E. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2020.102811 · Cited by 94
Aguiar-Noury, F., Buckley, C., & Hynes, S. (2025) · Agricultural Systems · doi:10.1016/j.agsy.2024.104202 · Cited by 12
Metadata
- Authors
- Pierpaoli, E., Carli, G., Pignatti, E., & Canavari, M.
- Venue
- Procedia Technology
- Publisher
- Elsevier BV
- Published
- 2013
- Volume
- 8
- Pages
- 61-69
- ISSN
- 2212-0173 (ISSN-L)
- OpenAlex
- W1996641038
- Cited by
- 457
- References
- 4
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Pierpaoli, E., Carli, G., Pignatti, E., & Canavari, M. (2013). Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technology. https://doi.org/10.1016/j.protcy.2013.11.010
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
