U.S. flag

An official website of the United States government

PECMAN Software

    Peanut Curing Manager (PECMAN) is a decision support system that assists drying facility managers with inventory control. It schedules sampling and removal times, estimates time remaining on dryer and current moisture content. Cooperators have reported reduced drying costs and improved peanut quality.

    SolarCalc 1.0

      Solar Calc: Estimating Hourly Incoming Solar Radiation from Limited Meteorological Data

      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.

        HYDRUS-1D

          HYDRUS-1D is a Microsoft Windows-based modeling environment for analysis of water flow and solute transport in variably saturated porous media. The software package includes the one-dimensional finite element model HYDRUS (version 7.0) for simulating the movement of water, heat, and multiple solutes in variably saturated media. The model is supported by an interactive graphics-based interface for data-preprocessing, discretization of the soil profile, and graphic presentation of the results.

          HYDRUS

            Simulates water, heat, and solute movement in one-dimensional variably-saturated porous medium.

            ExtractChem

              Numerical software package for estimating changes in solution composition due to changes in soil water content.

              ESAP

                Statistical software package for estimating field scale spatial salinity patterns from electromagnetic induction signal data (for Windows XP)

                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.