Version 1
: Received: 11 January 2020 / Approved: 12 January 2020 / Online: 12 January 2020 (14:48:29 CET)
How to cite:
Hsieh, T.-C.; Hung, M.-C.; Chiu, M.-L.; Wu, P.-J. Challenges of UAVs Adoption for Agricultural Pesticide Spraying: A Social Cognitive Perspective. Preprints2020, 2020010121. https://doi.org/10.20944/preprints202001.0121.v1
Hsieh, T.-C.; Hung, M.-C.; Chiu, M.-L.; Wu, P.-J. Challenges of UAVs Adoption for Agricultural Pesticide Spraying: A Social Cognitive Perspective. Preprints 2020, 2020010121. https://doi.org/10.20944/preprints202001.0121.v1
Hsieh, T.-C.; Hung, M.-C.; Chiu, M.-L.; Wu, P.-J. Challenges of UAVs Adoption for Agricultural Pesticide Spraying: A Social Cognitive Perspective. Preprints2020, 2020010121. https://doi.org/10.20944/preprints202001.0121.v1
APA Style
Hsieh, T. C., Hung, M. C., Chiu, M. L., & Wu, P. J. (2020). Challenges of UAVs Adoption for Agricultural Pesticide Spraying: A Social Cognitive Perspective. Preprints. https://doi.org/10.20944/preprints202001.0121.v1
Chicago/Turabian Style
Hsieh, T., Mai-Lun Chiu and Pay-Jiing Wu. 2020 "Challenges of UAVs Adoption for Agricultural Pesticide Spraying: A Social Cognitive Perspective" Preprints. https://doi.org/10.20944/preprints202001.0121.v1
Abstract
Unmanned aerial vehicles (UAVs) are one of the most promising innovative technologies invented in recent years to promote precision agriculture and smart farming. UAVs can not only reduce labor requirements but also increase production output, reduce the use of pesticides, and protect the environment. However, previous studies on agricultural UAVs have mostly focused on technical problems such as software and hardware design. Few studies have examined users’ behaviors in the implementation process. On the basis of Orlikowski and Gash’s technological frames, this study explored the participants’ cognition and expectation of farmers, pesticide, sprayers, and agriculture officials, who are three key groups of stakeholders involved in the application of UAVs to pesticide spraying, regarding agricultural UAVs and examined how the conflicts between their cognition and expectation influenced the choice of using pesticide spraying UAVs. The conclusions of this study contributed to supplement the content and broaden the scope of application of technological frame theory and provided a crucial reference for the promotion of agricultural UAVs in practice.
Keywords
unmanned aerial vehicles; smart farming; precision agriculture; technological frames; case study
Subject
Social Sciences, Behavior Sciences
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.