Examining the Adoption of Drones and Categorisation of Precision Elements among Hungarian Precision Farmers Using a Trans-Theoretical Model

This article discusses the use of drones in Hungary and considers their future penetration, based on responses to a nationally representative 2021 questionnaire among 200 large-scale farmers engaged precision farming crop production. Both applied trans-theoretical model (with ordinal logit regression model) design are suitable for comparison with results similar survey Germany. In this study, were found farm size, age, main job education, but evidence that higher education agriculture has largest positive effect is novelty. The frequency values obtained adopting technology elements not fully classification due interpretational shortcomings. within technologies no longer negligible (17%), nevertheless expected grow significantly continuous innovation selective application inputs. state could play major role uptake, particularly areas training harmonisation legislation.