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2. Media tools to look at agriculture
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Blue, John (author)
- Format:
- Report
- Publication Date:
- 2016
- Published:
- USA: Truffle Media Networks, Indianapolis, Indiana.
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 197 Document Number: D09506
- Notes:
- 1 page., Identifies seven online databases for metrics about agriculture.
3. Soil Vulnerability Index assessment as a tool to explain annual constituent loads in a nested watershed
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Lohani, S. (author), Baffaut, C. (author), Thompson, A.L. (author), and Sadler, E.J. (author)
- Format:
- Journal article
- Publication Date:
- 2020-01-01
- Published:
- USA: Soil and Water Conservation Society
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12060
- Journal Title:
- Journal of Soil and Water Conservation
- Journal Title Details:
- Vol 75, Issue 1
- Notes:
- 11 pages, via Online journal, The Soil Vulnerability Index (SVI) was developed by the USDA Natural Resources Conservation Service (NRCS) to identify inherent vulnerability of cropland to runoff and leaching. It is a simple index that relies on the SSURGO database and can be used with basic knowledge of ArcGIS. The goal of this study was to investigate a relationship between constituent (sediment and nutrient) loadings and fraction of the watershed in each SVI class. The SVI maps were developed for each of the seven subwatersheds of the Mark Twain Lake watershed in Missouri, which were similar in soil conditions and climatic variability. The SVI assessment was performed by investigating if the distribution of the SVI for cropland in each subwatershed could help explain measured 2006 to 2010 sediment and nutrient loads better than crop distribution alone. Regression analyses were performed between annual loads of sediment and nutrients exported from the watersheds and a composite number that included either cropland distribution alone, or cropland distribution combined with the SVI. Coefficients of determination and p-values were compared to assess the ability of land use and SVI distributions to explain stream loads. Integrating the SVI in the land cover variable improved the ability to explain constituent loads in the watersheds for sediment, total nutrients, and dissolved nitrogen (N). Regression results with and without the SVI were identical for dissolved phosphorus (P), potentially indicating that SVI was not indicative of dissolved P transport at the current site. Overall, the application of the SVI at watershed scale was not perfect, but acceptable at correctly identifying cropland of greatest vulnerability and linking with transported constituent loads.
4. 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.
5. What makes Farm Market iD's data different?
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Rao, Steve (author) and Farm Market iD
- Format:
- Online Magazine
- Publication Date:
- July/August 2019
- Published:
- United States: Farm Journal
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D11047
- Journal Title:
- AgriMarketing
- Notes:
- 2 pages, via online magazine archive, Several years ago, Farm Market iD saw that agribusinesses were struggling to use to the data and insights at their disposal to understand how they were performing in the market and needed modern-day data science to power decision-making. Given Farm Market iD's unique and powerful data and our ability to contextualize data to understand and interpret the agricultural market, we knew we had something valuable to offer.