3 pages, Figure 1 above appeared on July 31, 2018, in Bloomberg. Bloomberg tweeted this graphic on August 13, and twenty-four hours later it had been retweeted by 84 twitter accounts and “liked” 118 times. Chances are you have seen this graphic on your social media newsfeed (e.g., Facebook, Twitter) by now. It is a novel idea to portray how U.S. land use could be represented across the United States. However, to the casual observer, which is most everyone viewing a graphic on social media, this graphic is misleading.
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.
