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Contents
GPFARM Software Foresees the
Future

To determine management units for a farm layout, systems engineer Bruce
Vandenberg (left), agronomist Debbie Edmunds (center), and rangeland scientist
Pat Bartling examine a soil survey map.
(K8221-6)
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For the first time, Great Plains farmers and ranchers will have an
electronic crystal ball to foresee consequences of their management decisions.
"Our new computer program will give farmers and ranchers new insight
stretching ahead as much as 10 or 20 years into the economic and environmental
effects of what they plant, when and how much they fertilize, and the form of
conservation tillage they practice," says
Agricultural Research Service soil
scientist Lajpat R. Ahuja.
The new software, a decision support system, is named "GPFARM"
short for Great Plains Framework for Agricultural Resource Management.
Ahuja heads the team of ARS researchers that developed GPFARM at Fort
Collins, Colorado. Ahuja's ARS colleagues include hydraulic engineer James C.
Ascough, II, soil scientist Marvin J. Shaffer, range scientist Jonathan D.
Hanson, and several support staff.
They devised the program in collaboration with agricultural economist Dana
L. Hoag at Colorado State University.
Version 1.0 of GPFARM should be released sometime this fall. Ahuja says it
will be the first agricultural decision support system of its kind designed to
run under the Microsoft Windows 95 operating system. Simulation results are
displayed as narrative text, tables, and graphs. A typical desktop computer can
run GPFARM for an average farm or ranch in 30 minutes or less.
Earlier this year, the scientists beta-tested a prototype with about 30
farmers, agricultural consultants, and personnel at other USDA agencies.
Beta-tester Bill Gilbert has worked for 18 years as a consultant to over 35
farmers in the Fort Collins area. "GPFARM should lead to better decisions
economic as well as environmental on a host of variables like applying water,
fertilizers, and pesticides," he says.
"GPFARM will allow managers to design and compare alternative
strategies on the computer before implementing them in the field," Ahuja
says. The program has built-in databases for soils, land use, climate,
chemicals, and standard farm management practices. In addition, users provide
specific data about farm or ranch soil conditions, as well as their own
management practices.
Then GPFARM simulates biological, chemical, and physical interactions
between soils, crops, animals, and climate. The interactions lead to customized
management decisions. GPFARM also simulates how decisions affect soil
productivity, animal production, soil erosion, and quantities of nitrate and
pesticides leached from soil.
"The program even takes into account factors affecting long-term
sustainability for economic and environmental factors," Ahuja says.
Examples include loss of soil productivity due to erosion, changes in soil
organic matter content, and degradation of groundwater quality and supply.
"We have been fine-tuning and resolving over 200 comments and
suggestions from the beta-testers," he notes. "As a result, we have
made the program easier to use by modifying its look on the screen and
improving the ways in which users enter the data and display the simulations.
We also strengthened the program's capacity to simulate the growth of irrigated
crops," says Ahuja.
Future versions of GPFARM will use geographic information system (GIS)
technology a computerized approach to storing and analyzing geographic data.
GIS will allow users to evaluate environmental effects on and off the farm of
runoff, chemical seepage, and erosion. It will also allow gauging the off-site
fate of each chemical leached. By Hank
Becker, Agricultural Research Service Information Staff.
Lajpat R. Ahuja is in the
USDA-ARS Great Plains Systems Research
Unit, P.O. Box E, Fort Collins, CO 80522; phone (970) 490-8315, fax (970)
490-8310.
GPFARM will be available free of charge either on CD-ROM or via downloading
from the lab's web site at www.gpsr.colostate.edu/GPSR/
"GPFARM Software Foresees the Future" was published in the
November 1998 issue of Agricultural Research magazine. Click here to see this
issue's table of contents.
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