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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.

    Soil and Water Hub Modeling Datasets

      The Soil and Water Hub is jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. Modeling dataset resources are available for download for use with software tools Agricultural Policy/Environmental eXtender Model (APEX), Soil and Water Assessment Tool (SWAT), ArcSWAT, and related Conservation practices.

      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.

        USDA Plants Database API in R

          The USDA maintains a database of plant information - [USDA Plants Database](http://plants.usda.gov/java/) - containing trait data, some of its life history. This resource is an independently created RESTful API for that data. The API, and open issues for bugs/feature requests can be found in the GitHub repository. This tool can be used from the command line, R, Ruby, Python, a browser, etc.

          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.

            Professor: A Motorized Field-Based Phenotyping Cart

              An easy-to-customize, low-cost, low disturbance, motorized, and adjustable proximal sensing cart for field-based high-throughput phenotyping is described. General dimensions, motor specifications, and a remote operation application are given. The cart, named "Professor", supports mounting multiple proximal sensors and cameras for characterizing plant traits grown under field conditions.