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Weed Images: The Source for Images of Weeds and Weed Management in Agriculture

    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](https://www.weedimages.org/) 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.

    Forestry Images: The Source for Forest Health and Silviculture Images

      A joint project between University of Georgia - Bugwood Network and the U.S. Department of Agriculture, [Forestry Images](https://www.forestryimages.org/) image categories include: Forest Pests; Trees, Plants, and Stand Types; Silvicultural Practices; Urban Forestry; Wildlife; People, Places and Scenes.

      Land Use Strata - Selected States

        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.

        RCA Report - Interactive Data Viewer

          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.

          National Integrated Pest Management (IPM) Database - IPMdata

            Integrated Pest Management (IPM) is a science-based, decision-making process that identifies and reduces risks from pests and pest management related strategies. IPM coordinates the use of pest biology, environmental information, and available technology to prevent unacceptable levels of pest damage by the most economical means, while minimizing risk to people, property, resources, and the environment. IPM provides an effective strategy for managing pests in all arenas from developed agricultural, residential, and public lands to natural and wilderness areas. IPM provides an effective, all encompassing, low-risk approach to protect resources and people from pests.

            Invasive and Exotic Species of North America - Invasive.org

              [Invasive.org](https://www.invasive.org/) is a joint project between University of Georgia's Bugwood Network and the U.S. Department of Agriculture. Over 8,300 images, including over 1,000 new images of invasive/exotic/noxious plant, insect, pathogen and other species (including many weeds) and their biological control agents, taken by over 250 photographers. Most images were digitized from high-resolution 35mm slides. Multiple levels of jpeg format images are downloadable and may be copied and used for any non-profit, educational purpose with appropriate credit and copyright notice. Although most images are North American in nature, the system also contains images of organisms that are "Non-U.S. Natives", or are considered to be "U.S. Invasives."

              iSnobal

                iSnobal is a physically-based distributed snowmelt model. A coupled energy and mass-balance model iSnobal is used to simulate the development and melting of the seasonal snowcover.

                International Soil Carbon Network

                  The ISCN is a self-chartered, international, collaborative organization composed of scientists who recognize a need for and value in large-scale synthesis of soil carbon science.

                  Data from: Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC 1 models

                    Process-based models are increasingly used to study mass and energy fluxes from agro-ecosystems, including nitrous oxide (N2O) emissions from agricultural fields. This data set is the output of three process-based models – DayCent, DNDC, and EPIC – which were used to simulate fluxes of N2O from dairy farm soils. The individual models' output and the ensemble mean output were evaluated against field observations from two agricultural research stations in Arlington, WI and Marshfield, WI. These sites utilize cropping systems and nitrogen fertilizer management strategies common to Midwest dairy farms.