Drivers of Precision Agriculture Adoption in Italian Viticulture

Olimpia Fontana, Linda Arata, Margherita Muzzillo and Paolo Sckokai

Applied Economic Perspectives and Policy, 2026, vol. 48, issue 4, 1258-1271

Abstract: This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption, whereas farm structural features and a general positive attitude toward technology significantly increase the likelihood of uptake. Environmental concern plays a role only with respect to the intention to adopt, but not in explaining actual adoption behavior. Moreover, farmers' perceptions of the usefulness of digital technologies and the difficulties associated with their use emerge as key factors shaping adoption intentions among non‐adopters. These results suggest that targeted training initiatives and strengthened advisory services could play a crucial role in fostering the diffusion of precision farming technologies in viticulture.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/aepp.70090

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:apecpp:v:48:y:2026:i:4:p:1258-1271

Access Statistics for this article

More articles in Applied Economic Perspectives and Policy from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().