Chand, Kuldip (author) and Sharma, Darshan (author)
Format:
Book chapter
Publication Date:
1994
Published:
India
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 117 Document Number: C12885
Notes:
Papers presented at the 12th Annual Convention and Conference of the Society for Information Science, Hyderabad, India, January 28-30, 1993., Chapter 7 in P.C. Bose and H.C. Jain (eds.), Information management for rural development. Shipra Publications, Delhi, India. 159 p.
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.
Harmon, R.J. (author), Harsh, S.B. (author), and Department of Agricultural Economics, Michigan State University, East Lansing, MI
Format:
Conference paper
Publication Date:
1990
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 93 Document Number: C06913
Notes:
In: Zazueta, Fedro S., ed. Proceedings of the 3rd International Conference on Computers in Agricultural Extension Programs; 1990 January 31 - February 1; Grosvenor Resort Hotel, Disney World Village, Lake Buenavista, FL. Gainesville, FL : Florida Cooperative Extension Service, University of Florida, [1990]. p. 383-388
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C20447
Notes:
Pages 4-20 in Michael P. Collinson and Kerri Wright Platais (eds.), Social science in the CGIAR. CGIAR Study Paper No. 28, The World Bank, Washington, D.C. Proceedings of a meeting of CGIAR social scientists held at the International Service for Nationa, "The Consultative Group on International Agricultural Research (CGIAR) is an informal association of 40 public and private sector donors that supports a network of 18 international agricultural research centers."
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.
