Page 17 - 2020 Seed Guide
P. 17
A Model of Success
In the growing digital age of agriculture, machine learning and artificial
intelligence are becoming more prominent. Using machine learning and a
“digital twin” can allow us to see how a crop might respond to different
circumstances. Understanding these crop responses allows us to make
better use of our inputs to create the best ROI possible. Field Forecasting
Tool (FFT) by Winfield United is an example of this technology.
Field Forecasting Tool
models expected and
necessary nitrogen,
potassium and water.
Using field specific
information like soil
properties, production
history, tillage
practices, and weather
data allows FFT to help
predict and time
nutrient and water
application. The tool also uses
in-season tissue sampling to
help calibrate the model to
ensure accuracy.
Using the “digital twin”, a
grower can run a single scenario
or multiple scenarios to see how
a nutrient application, or
watering event in an irrigated
instance, can affect crop and
yield response. This allows for
the best possible rate and
timing of applications to have
the most desired effect.
At Great Bend Co-op, we have
Grower Standard - 195.5 bu/ac yield
