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RZWQM2

    Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

    USDA Dietary Guidelines Sentiment Analysis

      This dataset has all documents, the text and the pdf files as well as the code that was used to carry out the sentiment analysis on USDA DietaryGuidelines. The scope of the project and the resulting dataset uploaded here is carrying out the sentiment analysis on USDA dietary guidelines from 1980 till 2015 (released every 5 years). The motivation behind this project was the fact that recommendations regarding the different nutrients have changed over the years.

      Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) Simulation Model

        The Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model simulates crop growth, competition, light interception by leaves, biomass accumulation, partitioning of biomass into grain, water use, nutrient uptake, and growth constraints such as water, temperature, and nutrient stress. Plant development is temperature driven, with duration of growth stages dependent on degree days. Each plant species has a defined base temperature and optimum temperature.

        SWAT - Soil and Water Assessment Tool

          The Soil and Water Assessment Tool (SWAT) is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds.

          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.

            Sodium Monitoring Dataset

              The Agricultural Research Service of the US Department of Agriculture (USDA) in collaboration with other government agencies has a program to track changes in the sodium content of commercially processed and restaurant foods. Results of these monitoring activities are shared once a year in the [Sodium Monitoring Dataset](https://www.ars.usda.gov/ARSUserFiles/80400525/Sodium/Copy%20of%20SodiumMonitoringDatasetUpdatedJuly2616.xlsx) and [USDA National Nutrient Database for Standard Reference](https://www.ars.usda.gov/Services/docs.htm?docid=8964) and once every two years in the [Food and Nutrient Database for Dietary Studies](https://www.ars.usda.gov/Services/docs.htm?docid=12068).