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

CALMIM

The California Landfill Methane Inventory Model is a 1-dimensional soil gas transport and oxidation model that calculates annual landfill methane emissions based on the cover soil characteristics and annual climatic data for a given global location.

Agroecosystems & Environment

SolarCalc 1.0

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

Agroecosystems & Environment

Animal Transportation Database for Beef Cattle

Currently, there are inaccuracies in the energy use and greenhouse gas emission estimates of cattle transport reported by LCA studies because of their simplistic assumptions. The purpose of this database is to provide the necessary data for accurate estimation of the energy use and greenhouse gas emissions associated with cattle transport. The database has 28 different trailers under three categories namely pot belly, gooseneck, and bumper pull. It describes space available (length and width), maximum weight allowed in the trailer, along with a compatible vehicle that can haul the trailer. Gross vehicle weight, maximum payload allowed, and fuel use are available for the compatible vehicle. Using this database one can directly identify the number of cattle of a particular weight category that can be transported in a particular trailer-vehicle combination. This database also helps to identify economical and eco-friendly ways to transport cattle.

Animals and Livestock

Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.

This feeding trial was designed to investigate two separate questions. The first question is, “What are the effects of substituting two non-fiber carbohydrate (NFC) sources at two rumen-degradable protein (RDP) levels in the diet on apparent total-tract nutrient digestibility, manure production and nitrogen (N) excretion in dairy cows?”. This is relevant because most of the N ingested by dairy cows is excreted, resulting in negative effects on environmental quality. The second question is, “Is phenotypic residual feed intake (pRFI) correlated with feed efficiency, N use efficiency, and metabolic energy losses (via urinary N and enteric CH4) in dairy cows?”. The pRFI is the difference between what an animal is expected to eat, given its level of productivity, and what it actually eats. The goal was to determine whether production of CH4, urinary N or fecal N is a driver of pRFI.

Dairy CAP logo

Data from: Quality controlled research weather data – USDA-ARS, Bushland, Texas

The dataset contains 15-minute mean weather data from the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) for all days in 2016. The data are from sensors deployed at standard heights over grass that is irrigated and mowed during the growing season to reference evapotranspiration standards.

Agroecosystems & Environment

Feedstock Readiness Level Evaluations Summary Table v4.1

The table in this dataset collates the results of the FSRL evaluations listed under the Farm2Fly Ag Data Commons datasets to enable users to quickly identify, review, and compare available evaluations. Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.

Farm2fly Program

Feedstock Readiness Level Evaluations Summary Table v4.0

The table in this dataset collates the results of the FSRL evaluations listed under the Farm2Fly Ag Data Commons datasets to enable users to quickly identify, review, and compare available evaluations. Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.

Farm2fly Program