GrazPlan
The GRAZPLAN project at CSIRO Plant Industry
has developed a series of computer models that are the basis of
four commercially available decision support (DS) tools. These tools
are intended to help farmers to make decisions about their farm
management based on findings from scientific research. They are
aimed not only at farmers and farm advisors, but also at industry
organisations, agribusiness, banks and insurance companies.
GrazPlan brochure
The first three of these tools are commercially available through:
Horizon Agriculture
www.hzn.com.au
Email: horizonag@hzn.com.au
Phone: 02 9440 8088
Fax: 02 9887 4428
MetAccess: Uses daily climate records
to help farmers estimate the probable weather conditions at critical
times in the production cycle. This information can be used to make
better decisions about suitable crop and pasture varieties as well
as setting optimum dates for farm operations.
MetAccess brochure
GrazFeed: Provides estimates
of animal production from available pasture for any breed of sheep
or cattle. It predicts how much supplementary feed, and of what
type, will be needed to reach a particular production target.
GrazFeed brochure
GrassGro: Uses
information about soils, climate, animals and pasture species to
predict the quantity and quality of feed and animal production which
can be expected in a particular paddock. It will assess the risk
of different combinations of pasture and animals for different soil
and climatic conditions.
GrassGro brochure
AusFarm: A flexible modeling tool for agricultural
enterprises. AusFarm enables analysis of complex management questions
in livestock production or mixed crop-livestock systems. Any process
model can be employed with AusFarm, because simulations are implemented
with an innovative "common modelling protocol" that handles information
exchange between the sub-models.
Supporting documents and programs
There are a range of supporting documents and programs
available for the GRAZPLAN models, covering animal biology and nutrition,
soil inputs and the latest Technical Paper on GrazFeed.
Supporting documents and programs
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