Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D11002
Notes:
Online from the United Soybean Board via AgriMarketing Weekly. 2 pages., Summary of survey results reported in "Rural broadband and the American Farmer: Connectivity challenges limit agriculture's economic impact and sustainability." Findings reflected responses from more than 2,000 U.S. primary and secondary farm operators in a combination of online and mail-in surveys.
18 pages., via online journal., Findings in rural communities prompt authors to recommend a customized policy framework that is responsive to the diversity and uniqueness of local contexts in connectivity and digital inclusion.
8 pages., Online via UI Catalog., Authors investigated sources of information used by inhabitants of agricultural villages and rural areas, spanning the period 2012-2018. Findings showed that "interest in new mass media-the Internet grew significantly, whereas their interests in television or radio broadcasts decreased. It has also pointed out that the trend to read daily press and specialized papers increased. Village inhabitants (not a farmer) preferred daily press and journals, whereas farmers chose specialised press."
3 pages., Online via publisher., Describes how she and her associates are adjusting their farm reporting activities to report remotely during restrictions caused by the current COVID-19 pandemic. Cites challenges of reporting on economic and social impacts with which farm families are dealing.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 131 Document Number: D11298
Notes:
7 pages., Online from Internet and Technology, Pew Research Center., "37% of Americans go online mostly using a smartphone, and these devices are increasingly cited as a reason for not having a high-speed internet connection at home."
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.
