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2. Utilization of text mining as a big data analysis tool for food science and nutrition
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Tao, Dandan (author), Yang, Pengkun (author), and Feng, Hao (author)
- Format:
- Journal article
- Publication Date:
- 2020
- Published:
- International
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11679
- Journal Title:
- Comprehensive Reviews of Food Science and Food Safety
- Journal Title Details:
- 19 : 875-894
- Notes:
- 20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.
3. ‘You can't eat data’?: Moving beyond the misconfigured innovations of smart farming
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Fraser, Alistair (author)
- Format:
- Journal Article
- Publication Date:
- 2021-06-17
- Published:
- Netherlands: Elsevier
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12812
- Journal Title:
- Journal of Rural Studies
- Journal Title Details:
- Volume 91, Pages 200 - 207
- Notes:
- 8pgs, This paper presents a critical examination of smart farming. I follow other critical analyses in recognizing the centrality of innovation processes in generating smart farming products, services, arrangements, and problematic outcomes. I subsequently use insights from critical human geography scholarship on the significance of understanding topological transformations to move beyond interpretations that identify only a narrow range of smart farming problems, such as a lack of coordination or limited uptake by farmers. Instead, I examine a broader set of challenges produced by smart farming developments. The overriding concern, I argue, is that smart farming unfolds via the production of numerous ‘misconfigured innovations.’ Using insights from literature on responsible research and innovation I then probe the stakes of looking beyond the misconfigured innovations of smart farming and discuss how new technologies might come to play a role in producing emancipatory smart farming. I pay attention to research on the ‘internet of people,’ which paints a stark new picture of social life generally, and in particular how rural life might be computed and calculated according to new conceptualizations of sociality and spatiality.