Transcript DISC - University of Florida

DISC
Decision Information Systems
for Citrus
Premise of DISC
Information is growing exponentially
Need to apply information to remain
competitive
Technology is improving, and costs less
Time is being compressed – cellphones, email, etc.
Result – Not enough time to do everything,
not enough brainpower to remember
everything
Decision Information
Systems for Citrus
Technology
Citrus Knowledge
Base
Technology
Expert Systems and Artificial
Intelligence
Expert System models a single decision,
or groups of related decisions
Artificial Intelligence is a collection of
Expert Systems – more complex
Certain decisions that are repetitive in
nature, and involve remembering a lot of
detailed information, can be modeled
Other decisions that require human
creativity cannot be easily modeled
The DISC Team
“Domain Experts” – People who
understand the decision process –
researchers, growers, etc.
“Knowledge Engineers” – People who
understand the process of building expert
systems
Weather-Driven Expert Systems
DISC originated as an idea about
describing, building, and running expert
systems that require weather data as an
input
Weather is a powerful variable in
agricultural production, and must be
accommodated in decisions
Three Things Needed
Expert Systems
Weather Information
Users
Need all to be viable
1994 -- No easy way to collect weather
information, few people familiar with expert
system development, and very few
growers using computers and technology
Current Status
Two weather station networks – Agrilink
and FAWN
Many growers have computers
With FCPRC Funding, Team has
developed pilot expert systems, and an
operating framework for DISC
Next steps – finalize distribution process,
add modules, refine interface with grower
accounting software
4 sprays of 2 lbs metallic / acre
<-- 26 days-->
5 sprays of 2 lbs metallic / acre
.50ug/cm2 threshold
Integration with Financial
Management Software
Currently, Kahn Grove Care has worked
with DISC and Datativity to allow single
entry of both financial and grove care data
Eliminates need to enter spray data, etc.,
twice
Currently working to allow automated data
transfer between DISC and Quickbooks
Preplant Decision Model
Allows selection of best rootstocks for a
site
Ranks rootstocks based on user-defined
criteria
Have demonstrated the possibility of
drawing GIS maps with rootstock locations
Nutrient Management Plan
Description and records of sources, uses,
and ultimate fate of all nutrient materials –
applied or natural
Methods of managing nutrients
Measures to eliminate or reduce off-site
migration of nutrients into receiving water
Abbreviation – “NMP”
Thank You Very Much
Pete Spyke
Arapaho Citrus Management, Inc.
Ft. Pierce, Florida
www.arapahocitrus.com