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NLET - National Load Estimating Tool

    NLET (National Load Estimating Tool) is a web-based tool for estimating pollutant loads in watersheds across the contiguous United States. This tool helps visualize the effects of land use patterns, cultivated crops, and conservation practices through graphical representation.

    The National Robotics Engineering Center Agricultural Person-Detection Dataset

      Person detection from vehicles has made rapid progress recently with the advent of multiple high-quality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. Here we present the National Robotics Engineering Center (NREC) Agricultural Person-Detection Dataset to spur research in these environments. It consists of labeled stereo video of people in orange and apple orchards taken from two perception platforms (a tractor and a pickup truck), along with vehicle position data from Real Time Kinetic (RTK) GPS. We define a benchmark on part of the dataset that combines a total of 76k labeled person images and 19k sampled person-free images. The dataset highlights several key challenges of the domain, including varying environment, substantial occlusion by vegetation, people in motion and in nonstandard poses, and people seen from a variety of distances; metadata are included to allow targeted evaluation of each of these effects.

      Maize Genetics Cooperation Stock Center Catalog of Stocks

        The Maize Genetics Cooperation Stock Center is operated by USDA/ARS, located at the University of Illinois, Urbana/Champaign, and integrated with the National Plant Germplasm System (NPGS). The center serves the maize research community by collecting, maintaining and distributing seeds of maize genetic stocks, and providing information about maize stocks and the mutations they carry through the Maize Genetics and Genomics Database (MaizeGDB).

        Maize-GAMER: GO Annotations, Methods, Evaluation and Review

          maize-GAMER is a collaborative project to improve the status of gene functional annotation in maize (*Zea mays*). The project has three main areas of focus, namely * Design a pipeline for the functional annotation of maize genes. * Use manually curated test data to evaluate the annotations and generate a best subset of annotations for use * Design a user friendly review system for the community to provide feedback and endorsements of the annotations

          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.

            Data from: Comparative farm-gate life cycle assessment of oilseed feedstocks in the Northern Great plains

              This MS Word document contains the oilseed feedstock farm-gate model inventories, results, and uncertainty analyses for the Northern Great Plains discussed in Moeller et. al 2017. Analysis was conducted using IPCC GHG standardized emissions. Methodology is detailed in the associated publication (doi: 10.1007/s41247-017-0030-3). The supplementary information contains the names of the ecoinvent inventories; oilseed yield, seeding rates, and fertilization rates per USDA crop management zone (CMZ); climate change, freshwater eutrophication, and marine eutrophication percent contributions ReCiPe results per CMZ; Monte Carlo uncertainty results per CMZ; and farm-gate energy balance analysis results per CMZ.

              Plant Variety Protection Office - Scanned Certificates

                This dataset provides the scans of issued certificates for a variety of plants. If you know the certificate number or applicant name simply enter the information in the search box. For certificates issued between 1970 and 1999, add two zeroes in front of the 7-digit number. Alternatively, you can search by selecting a crop from the list.

                AMIS Market Database

                  Statistics at a Glance provides summary tables of the main data items currently covered by AMIS (Agricultural Market Information System). There are production, supply, utilization, trade and closing stocks. Users can select a country on the world map and specify their request by selecting one of the four AMIS crops: wheat, maize, rice, or soybeans. Alternatively, users can display aggregate values for total cereals and coarse grains.