Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation
Summary. Brazilian agriculturalists who adopted IoT smart agriculture technologies were educated, tech-savvy opinion leaders. Successful innovations were simple, easy to communicate, socially accepted, and highly functional. Observability, compatibility, and low complexity drove adoption decisions. Farmers cited excessive complexity and poor compatibility as main barriers. The study recommends targeting opinion leaders, simplifying technologies, and expanding farmer education programs.
Cite this article
Strong, R., Wynn, J. T., Lindner, J. R., & Palmer, K.. (2022). Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation. Sensors. https://doi.org/10.3390/s22186833
Strong, Robert, et al. “Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation.” Sensors, 2022. https://doi.org/10.3390/s22186833.
Strong, Robert, John Thomas Wynn, James R. Lindner, and Karissa Palmer. 2022. “Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation.” Sensors. https://doi.org/10.3390/s22186833.
@article{strong-2022-evaluating-brazilian-agriculturalists-iot-smart,
title = {Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation},
author = {Robert Strong and John Thomas Wynn and James R. Lindner and Karissa Palmer},
journal = {Sensors},
year = {2022},
doi = {10.3390/s22186833},
url = {https://doi.org/10.3390/s22186833}
}
TY - JOUR TI - Evaluating Brazilian Agriculturalists’ IoT Smart Agriculture Adoption Barriers: Understanding Stakeholder Salience Prior to Launching an Innovation AU - Robert Strong AU - John Thomas Wynn AU - James R. Lindner AU - Karissa Palmer JO - Sensors PY - 2022 DO - 10.3390/s22186833 UR - https://doi.org/10.3390/s22186833 ER -
Details
- DOI
- 10.3390/s22186833
- Countries
- Brazil
- Regions
- South America
- Categories
- agtech, innovation-networks
- Added
- 2026-04-28