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

被引:0
|
作者
Ofori, Martinson [1 ]
El-Gayar, Omar [1 ]
机构
[1] Dakota State Univ, Coll Business & Informat Syst, Madison, SD 57042 USA
来源
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2019年
关键词
Social media; Smart Agriculture; Food Sustainability; Sentiment Analysis; Public Perception; BIG DATA; CLOUD; KEY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:5152 / 5161
页数:10
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