Journal
PRECISION AGRICULTURE
Volume 22, Issue 6, Pages 1728-1748Publisher
SPRINGER
DOI: 10.1007/s11119-021-09809-8
Keywords
Drone; Precision agriculture; Technology acceptance model; Partial least squares structural equation modelling; Unmanned aerial vehicle
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Funding
- Projekt DEAL
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The study investigates factors influencing German farmers' intention to adopt drones, and an extended Technology Acceptance Model (TAM) explains 69% of the variance, indicating that raising farmers' awareness and confidence levels can increase drone adoption intention.
Drones are one of the latest tools to have been added to farmers' precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers' intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers' awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers' intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.
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