2DLEAF

A 2D mechanistic model of CO2 and water vapor movement in a leaf and photosynthesis.

Plants and Crops

Nearest Neighbor Soil Water Retention Estimator

The k-nearest neighbor (k-NN) technique is a non-parametric technique that can be used to make predictions of discrete (class-type) as well as continuous variables. The k-NN technique and many of its derivatives belong to the group of .lazy learning algorithms.. It is lazy, as it passively stores the development data set until the time of application; all calculations are performed only when estimations need to be generated.

Agroecosystems & Environment

Virtual Grower 3

Initially designed to help greenhouse growers determine heating costs and do simple simulations to figure out where heat savings could be achieved, it has slowly added features so that now, Virtual Grower can help not only identify those savings through different greenhouse designs, but predict crop growth, assist in scheduling, make real-time predictions of energy use, and see the impact of supplemental lighting on plant growth and development. In other words, the software can be a safety net and allow users to experiment with "what if" scenarios in a risk-free setting.

Plants and Crops

DRIFTSIM

DRIFTSIM can be used to determine the effects of major drift-causing factors on the mean drift distances up to 656 feet from the release point for individual water droplets or classes of droplets.

Agroecosystems & Environment

SolarCalQ - Version 1

The purpose of the SolarCalQ Version 1 JAVA model is to simulate the spectral quality of incident solar radiation for any location on the globe, down to one minute time steps.

Agroecosystems & Environment

SolarCalc 1.0

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

Agroecosystems & Environment

SeedChaser - Version 2.0

SeedChaser is a 1-D empirical vertical soil tillage distribution model with 1 cm grid spacing that predicts vertical redistribution of weed seeds following user selected (a) sequences of tillage implements, and (b) initial seed distribution values. Results of this model are particularly suited for weed seed emergence modeling. However, the model can be adapted easily to any surface broadcasted agrochemical or incorporated residues.

Agroecosystems & Environment