Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes.
A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Georgia Museum of Natural History, The Entomology Society of America and USDA Identification Technology Program, Insect Images image categories include: Insect Orders: Hymenoptera; Coleoptera; Hemiptera; Lepidoptera; Blattodea; Odonata; Dermaptera; Diptera; Orthoptera; Neuroptera; Phthiraptera; Mantodea; Thysanura; Isoptera; Thysanoptera; Phasmatoptera; and Related Organisms.
A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Weed Science Society of America and the USDA/APHIS Identification Technology Program, Weed Images image categories include: Habit: Aquatics, Herbs/Forbs, Grasses, Shrubs, Trees, Vines; Herbicides: Mechanism of Action, HRAC or WSSA Group; Most Troublesome and Most Common Weed Lists.
A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, IPM Images image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.
The dynamic Esri-based map interface shows USDA and other federal investments in local and regional food systems since 2009, along with data such as farmers markets, wholesale markets, green schools, food hubs, and meat processors. Users can explore the map to see what's happening in their own local community, or learn how others are using federal support to build local food systems. Boundary filters include tribal land, congressional district, county, and zipcode. State summary reports include program/project description, recipient, funding, and year. Resulting reports can be downloaded as comma-separated values (CSV) format to import into MS Excel or other spreadsheet application.
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. This site provides links to download ESRI shape and symbology layer files, as well as low resolution JPEG or higher resolution PDF images for each state.
The NRCS National Water and Climate Center's Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and…
This site supports the Soil and Water Resources Conservation Act (RCA) by providing data from a variety of sources, including data on the status and trends of natural resources, conservation efforts (funding and conservation practices applied), and the agricultural sector. Reports can be created at the State, Regional, or National level.
The NRCS National Water and Climate Center Report Generator web-based application uses long-term snowpack, precipitation, reservoir, streamflow, and soils data from a variety of quality-controlled sources to create reports. Users can choose from predefined templates or build custom reports. Data from tabular reports may be…