Crop Insurance Today Fourth Quarter 2020 - 16

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What's Growing On?
All Things Big and Small
By Dr. James Houx, NCIS

In the past two segments of What's Growing
On we have discussed a couple of topics. One
that garnered significant national attention and
one that we hope will not. The national headline
grabber, dicamba, is back in the headlines this fall
as the EPA announced on October 27 a five-year
re-registration of dicamba formulations for overthe-top application. The other topic, Soybean
Gall Midge, continued to wreak havoc on pockets of soybean in eastern Nebraska and western
Iowa through August and early September. That
one, we hope, will never make national headlines.
For this article, I will discuss a different topic
that has gained momentum over the course of the

last five or ten years-data analytics. Agricultural
data analytics is finding robust and fascinating
applications and is already transforming your life
even if you are not aware of it.
In a much bigger realm, the science of data
analytics or simply put, data science, is finding
new uses for information that were unimaginable
a few years ago. In agriculture, data science has
exploded, and the trajectory of possible uses is
beginning an exponential climb. The realm is
multi-faceted, and its origins lie in the " Internet
of Things, " the network of physical objects such
as sensors, software, and electronics, that are connected and exchange information via the Inter-

net. Although these technologies developed on
separate and often very different trajectories, the
Internet and data science has corralled them and
has made them far more relevant together than
they are as individual pieces. There are billions
of these " things " around the globe; information
about weather, soil, crops planted, plant growth,
crop yields, and you that are inter-connected, and
all of this can be measured and datafied.

The Small

Plant breeding is as old as agriculture and is
always limited by economics, physical limits of
manpower and space, and time required to breed

Predictive modeling is fast becoming a reality as big data becomes easier to acquire, access, and analyze.

16

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Crop Insurance Today Fourth Quarter 2020

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http://www.brightcopy.net/allen/cint/november2015
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