10 pages, Abstract— Smart agriculture involves the use of technology such as drones, GPS, robotics, IoT, AI, big data, and solar energy to improve farming practices. As with any disruptive innovation, however, stakeholder expectations can be misaligned from what the innovation can actually deliver. There can also be varying perspectives on what the innovation entails, related topics of interest, and impediments to large scale adoption. This study examines public perception of smart agriculture and its perceived drivers and challenges as present in social media discourse. We collected online posts from Twitter, Reddit, forums, online news and blogs between January 2010 and December 2018 for analysis. Results show that 38% of social media posts contained emotion with 52% joy, 21% anger and 12% sadness. Through topic analysis, we discovered seven key drivers and challenges for smart agriculture which included: enabling technologies, data ownership and privacy, accountability and trust, energy and infrastructure, investment, job security, and climate change.
Marasteanu, I. Julia (author), Jaenicke, Edward C. (author), and Food and Drug Administration (formerly the Pennsylvania State University), 5100 Paint Branch Parkway # 1B056, College Park, MD 20740, USA
Format:
Journal article
Publication Date:
2016-06
Published:
USA: CAB International, Wallingford Oxon OX10 8DE United Kingdom
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 164 Document Number: D08213
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 139 Document Number: D05924
Notes:
Online via TruffleMedia. Transcript of a presentation at the 2015 Ag Issues Forum sponsored by Bayer CropScience in connection with the 2015 Commodity Classic,Phoenix, Arizona, February 24-25, 2015. 16 pages.
