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    Start Over Format Conference paper Subject Term public attitude Within Last x Years within 10 Years

    1. Public concerns towards GM foods are not driven solely by concerns about the technology, but more strongly by cultural differences

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Cormick, Craig (author) and Young, Jaime (author)
    Format:
    Conference paper
    Publication Date:
    unknown
    Published:
    International
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 162 Document Number: C26837
    Notes:
    Paper written for the PCST International Conference held in Barcelona, Spain in 2004

    2. The State and Future of Smart Agriculture: Insights from mining social media

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Ofori, Martinson (author) and El-Gayar, Omar (author)
    Format:
    Conference paper
    Publication Date:
    2019-12
    Published:
    United States: IEEE
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12222
    Journal Title:
    2019 IEEE International Conference on Big Data (Big Data)
    Notes:
    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.