►
Description
Date: 10/5/2018
Presenter: Gabe Youtsey
Institution: University of California Agriculture and Natural Resources
West Big Data Hub
A
Gabe
Yaffe
serves
as
the
CIO
for
well
actually
sorry,
chief
innovation
officer,
not
not
what
we
usually
think
of
as
CIO
for
UC
agricultural
and
natural
resources
he's
leading
the
California
vine
initiative,
which
aims
to
catalyze
information
and
entrepreneurship
and
food
agriculture,
national
resource
resources,
working
with
industry,
government
academic
institutions
in
rural
communities
across
California.
The
program
is
aimed
at
creating
the
future
of
agricultural
and
natural
resources
for
science
and
technology,
throwing
the
pipeline
of
young
innovators
in
building
a
collaborative
food
and
agricultural
technology.
A
Innovation
community
across
California
Gabe,
previously
led
UC,
an
ARS
and
UC
Davis's
IT
strategy,
team
driving
programmatic
educational
and
administrative
projects
and
collaborating
with
colleagues
across
disciplines
and
UC
locations.
Before
coming
to
University
of
California,
he
was
a
management
and
technologist
strategist
at
KPMG,
where
he
led
regional
and
national
information
technology
and
security.
A
Advisory
projects
include
agriculture,
retail
banking,
software
and
other
sectors
and
I'll
just
say:
Eve
is
the
cherished
colleague
always
working
on
interesting
things
he's
one
of
those
people
where
if
he
invites
you
to
something,
you
don't
even
look
at
what
the
meetings
about
you
just
check
your
calendar.
So
with
that
I'll
turn
it
over
to
you.
Gabe
very.
A
B
B
Advancing,
there's
networking,
okay,
just
very
briefly
on
you
CA
are
we
are
the
Cooperative
Extension
function
for
the
UC
system,
we're
out
of
the
office
of
the
president,
so
we're
most
tightly
linked
with
our
land-grant,
fulfilling
campuses,
Berkeley,
Davis
and
Riverside.
We've
got
nine
research
and
extension
centers
where
we
do
field
innovation,
research
across
the
state
of
California.
Much
like
much
like
other
states
are
just
our
scope
is
slightly
bigger
and
our
organization
is
slightly
different,
so
I'm
gonna
come
at
this
from
the
lens
I.
Could
talk
about
food
I?
Could
talk
about
a
guy?
B
Could
talk
about
the
environment?
I
could
talk
about
all
kinds
of
things:
I'm
gonna
focus
on
agriculture
and
really
the
threats
to
agriculture
as
the
basis
for
one
of
our
strands
of
action
here
in
California,
and
that's
really
the
agricultural
leadership
that
California
is.
We
are
the
number
one
producer
of
Ag
in
the
nation
and
we're
very
unique
because
we
grow
fresh
fruits,
vegetables
and
nuts
is
our
primary
crop
variety
of
crops
over
actually
over
400
varieties
of
different
things,
and
because
of
massive
challenges
with
labor
I
mean
this
is
a
strawberry
harvest.
B
It
takes
the
same
amount
of
people
that
it
took
in
the
early
1900's
to
harvest
the
current
strawberry
crop.
Today,
we've
got
you
know,
we
have
a
lot
of
compliance
challenges
and
they're
necessary.
We
have
a
lot
of
environmental
issues
that
need
to
be
addressed,
but
those
also
cost
time
and
money.
Water
is
a
perpetual
issue
in
California.
We
are
in
a
desert,
but
we
have
an
amazing
network
of
water
that
has
to
be
carefully
managed
and
it's
always
scarce.
B
Increasingly
environmental
sustainability
of
every
facet
must
be
considered.
Food
safety
is
a
paramount
importance,
particularly
in
fresh
food,
and
this
summer
was
a
terrible
one
for
for
for
food
safety
outbreak
and
issues
that
cause
all
kinds
of
alarm,
panic
and
hand
wringing
and
real
real
deaths
too.
So
obviously,
health
issues
and
finally
consumers
are
very
you-
know
their
preferences
for
what
they
want
to
grow
and
they
eat
and
know
about
their
food
and
where
it
comes
from
and
who's
picked
it
and
all
those
things
all
those
things
are
changing.
B
At
the
same
time,
technology
is
advancing
both
not
just
in
California
but
all
over
the
world,
in
some
cases
faster
in
other
places.
Israel
is
well
known
for
water,
conserving
capabilities
in
growing
how
they
grow
their
food.
Netherlands
has
amazing
indoor
production,
robotics
of
every
kind,
such
as
platforms
to
harvest,
apples
and
other
tree
fruits.
B
Traditionally
very
difficult
are
starting
to
make
an
appearance,
and
then
things
that
grippers
hands
that
can
rip
a
fruit
now,
I'll
just
note
that
that
thing
gripping
a
strawberry
would
never
work
that
thing
that
would
crush
that
strawberry
in
a
second,
so
soft
robotics
that
work
as
quickly
as
a
human
hand,
are
wicked
hard
problems
to
solve
and
they're
working
on.
Those.
B
Essentially,
you
have
to
couple
that
with
genetics
and
the
new
course
gene
editing
is
of
high
interest
as
well.
But
if
we're
going
to
grow,
you
know,
use
machines
to
harvest
and
to
know
we
actually
have
to
do
a
lot
of
genetic
work
and
horticultural
work
to
make
sure
that
the
the
plants
the
can
be
harvested
by
machines
as
an
example
and
grown
in
the
correct
way.
B
Robotics
of
every
kind
are
being
explored
and
tried
out
mechatronics
from
drones
to
different
robotics.
That
either
are
you
know
full.
You
know,
there's
really
not
one.
That's
fully
replacing
any
farmer
anytime
soon,
but
there's
a
lot
of
intermediary
technologies
that
are
coming
online:
connectivity,
food
science,
technology,
clean
energy
and
scaled
for
up
small
and
large
farms
things
all
of
those
things
are
technologies
that
are
coming
fast
and
furious
at
food
net
production,
but
the
adoption
of
that
stuff
is
slow,
so
pace
of
farming
is
on
an
annual
cycle.
B
It's
a
very
slow
adoption.
There's
lots
of
isolated
startups.
Those
need
integration
for
them
to
actually
work.
Well,
if
you
go
to
any
of
these
agri-food
tech
events
in
particularly
in
Silicon
Valley,
we'll
hear
a
lot
of
marketing,
but
very
dubious
science
are
our
models
to
collaborate.
We
actually
must
collaborate
between
the
government,
academia,
industry,
for
an
effective
rollout
of
these
technologies
on
any
type
of
a
quicker
timescale.
Our
investment
models
are
problematic
because
venture
doesn't
work
well
and
it's
very
difficult
to
get
these
technologies
into
the
market
today
for
a
number
of
reasons.
B
So
all
things
I'm
going
to
gloss
over
for
now,
but
just
highlight
some
of
these
challenges.
So
we
have
created
a
new
institute
called
the
vine
Institute
built
off
of
four
existing
California
Institute
for
science
and
innovation
model
that
we
are
going
to
use
to
collaboratively,
solve
problems
and
drive
the
adoption
of
new
technologies,
and
so
our
network
encompasses
the
UC
system,
but
also
the
the
Cal
State
System,
the
community
college
system,
the
private
sector
and
government
as
well
across
the
state
variety
of
different
players
and
partners.
B
This
is
only
a
small
representation
and
we
really
see
this
kind
of
collaborative
model
in
the
vine
community.
We
call
it
emanating
out
from
California
globally
across
the
nation
in
the
world,
some
of
the
some
of
the
focus
areas
that
that
we
are
where
we're
going
to
work
on
I'm
going
to
hone
in
on
the
data
piece,
but
a
farm
to
food
data
hub
which
would
be
very
complementary
to
to
Matt's
internet
of
food
indoor
at
various
indoor
agriculture
systems
of
production.
B
You
know
you
know:
the
I
talked
about
farm
and
robota
robotics
process,
automation,
looking
at
new
opportunities
for
specialty
crops,
new
crops,
henna
coffee,
Moringa,
barley,
those
are
all
new
things
that
were
exploring
in
California
and
we
want
to
build
automation
into
the
process
from
day
one
and
one
of
the
things
that
universities
do
well
and
can
do
well
to
support.
The
commercialization
of
technology
is
test
those
things.
Cooperative
Extension
does
that
well,
and
it's
a
it's
a
key/value
ad
that
we
can
do
to
accelerate
the
marketplace.
B
Adoption
of
these
technologies
from
the
work
we
do
in
academia.
So
just
very
briefly,
you
know
just
give
you
a
little
snapshot
of
what
one
of
these
things
looks
like.
This
is
our
Kearney
facility
in
south
of
Fresno
California,
where
we'll
integrate
precision
irrigation
with
flight
drones.
We
do
robotics.
This
is
blue
river,
one
of
the
big
fantastic
AG
exits
to
John
Deere.
Recently,
that's
a
lettuce
being
planted.
B
1
is
on
the
lower
right
to
ultimately
drive
towards
a
data
hub
that
we
would
likely
partner
with
folks
like
you
to
create,
to
you,
know,
to
test
interoperability,
to
do
data
driven
research
to
be
a
repository
and
to
support
data
services,
and
one
of
those
data
services
that
we
have
already
built
is
a
tool
called
crop
manage
which
I'm
going
to
talk
about
and
its
claim
to
fame
on
what
it
does
is
reducing
the
amount
of
water
and
fertilizer
in
production
farming.
All
that
needs
to
be
supported
by
good
standards.
B
Currently,
one
of
the
most
prominent
we're
not
using
this
in
California,
the
at
Gateway
data
standards,
which
are
pushing
towards
an
ISO
classification,
would
be
one
one
of
the
ways
that
we
could
support
interoperability
at
the
same
time
couple
that
with
different
classes,
where
we
can
actually
put
these
technologies
in
the
hands
of
growers
in
a
fairly
non
proprietary
open
way,
so
that
we
have
a
way
to
pass
on
that
knowledge.
A
key
function
of
Cooperative
Extension,
so
I'm
going
to
talk
a
little
bit
more
about
crop
managed.
B
So,
first
of
all,
taking
this
approach
of
you
know
we're
not
we're
not
in
the
business
of
collecting
data
for
data's
sake,
we're
actually
creating
applications
that
matter
to
the
business.
So
what
this
application
that
a
farm
advisor,
Michael
Kahn,
a
Cooperative
Extension
irrigation
by
they're,
really
sharp
sharp
dude
from
Salinas
created
this
protocol.
You
know
using
established
research,
driven
crop
et
models,
evapotranspiration,
irrigation
models,
crop
in
nitrogen
models,
and
so
it
essentially
takes
in
available
soil
and
data.
B
That's
already
been
mapped
for
the
state
of
California
takes
in
data
from
this
publicly
available
weather
station.
It
takes
in
nitrate.
You
do
a
little
quick
nitrate
test
to
enter
those
values
and
other
sensors
from
the
field,
irrigation
and
other
sensors
as
well,
and
it
puts
that
into
a
database
and
essentially
spits
out
recommendations
for
how
much
to
irrigate
and
how
much
to
fertilize.
B
There's
nothing
like
this
there's
a
lot
of
long
water
recommendations
out
there,
they're
not
based
on
science,
they're,
not
crop
specific
and
the
nitrogen
is
very
wicked
hard
to
complex
I
can't
even
describe
how
that
works,
but
suffice
to
say
it
is,
and
so
it
gives
you
a
very
precise
management
model
which
regulators
want,
which
increasingly
suppliers
like
Walmart
want,
which
a
variety
of
different
people
want
and
the
farmers
are.
It
also
saves
the
farmers
money
now
in
California,
where
crop
prices
are
very
high.
B
That
is
actually
mean
a
lot,
sometimes
a
little
extra
fertilizer
and
a
little
extra
water.
It's
called
insurance
policy,
but
when
they're
compelled
to
produce
the
reports
of
all
that
and
they're
able
to
use
a
UC
science-based
prescription
and
prove
that
it
starts
to
become
very,
very,
very
attractive.
B
C
B
Way
that
we're
thinking
you
know,
we've
got
this
model,
we've
turned
it
into
software
I'm
not
going
to
show
you
the
application
right
now
you
can
go,
let's
see,
I'll
give
you
the
you
can
go
to
the
website
crop
manage
a,
but
the
way
that
we're
thinking
about
this
sorry
for
this
busy
diagram
here
is
really
thinking
about.
How
do
we
abstract?
You
know
we're
not
in
the
business
of
delivering
software?
B
Typically,
what
I
ever
anytime,
I
ever
see
a
research-based
software
platform.
You
know
it's,
it's
not
something
that
Silicon
Valley
would
produce
yeah
and
we
need
to
get
it
to
the
point
where
it
is
that
we
either
need
to
license
it
out.
We
either
need
to
offer
a
partner
in
some
way,
so
we're
thinking
about
it
a
different
way.
We
don't
want
to
go
and
create
a
start-up
out
of
it,
compete
with
industry
and
then
have
it
be
bought
up
by
bayer
monsanto,
john
deere,
whoever
and
become
a
proprietary
service.
B
We
actually
want
to
use
this
as
a
real
time.
Research,
translation
capability
to
deliver
a
core
service
that
can
be
consumed
via
API
to
other
systems,
and
then
you
know
kind
of
disintermediate,
some
of
the
actual
input,
data
and
task
data
and
deliver
crop
managed
as
a
service,
yeah
and
so
we're
thinking
of
this
as
a
micro
service.
Now,
where
we
can
as
new
different
kinds
of
services
come
on,
we
can
layer
those
in
into
a
non-profit
and
actually
partner
with
industry
to
take
those
into
commercial
products.
B
So
so
what
are
our
goals
in
doing
this
one?
Is
we
really
want
to
enhance
both
grower
profitability
and
sustainability
and
what
they
do,
but
also,
at
the
same
time,
supporting
our
regional,
water
and
nitrogen
sustainability
of
the
communities
which
this
product
is
used?
We
don't
want
to
compete
with
industry,
we're
going
to
support
it
and
accelerate
science-based
tech
adoption.
We
also
in
recover
costs
of
this,
because
you
can't
run
a
business
on
grants.
B
You
can't
run
a
business
for
nothing,
so
we
have
to
figure
out
a
way
to
public,
create
a
public
private
partnership
out
of
this
and
let
the
growers
leverage
their
own
data
and
support
research
and
innovation.
We
are
looking
to
find
that
model
where
they
can
plug
in
and
use
their
data
for
their
own
benefit,
but
also
for
to
partner
with
researchers
to
innovate,
on
with
the
massive
trove
of
data
that
products
like
and
services
like
crop
management
will
produce.
B
So
you
know,
I
was
inspired
by
this.
This
I
got
this
phrase:
translational
agriculture
from
a
guy
named
Adam,
Wolfe
who's,
the
founder
of
an
Ag
tech
company
called
arable.
He
graduated
out
of
Princeton,
but
he
was
a
Cooperative
Extension
guy
in
California,
so
you
can
read
his
entire
quote
there,
which
is
a
little
bit
down
on
university
faculties,
but
I
like
what
he
said
about
a
user
centric
process
that
addresses
the
roadblocks
to
implementing
these
technology
and
practices,
and
that's
really
what
we're,
after
this,
this
translational
agriculture,
but
in
a
real-time
fashion.
B
C
A
B
C
B
That
is
a
good
question.
It
is
per
acre
not
per
plant,
because
you
could
never
irrigate
to
that
level
of
efficiency,
but
it
is
2
per
acre.
If
I
am,
if
I'm,
remembering
correctly,
it's
either
at
the
ranch
level,
but
I
think
it's
actually
more
at
the
acre
level.
But
everything
is
organized
Agriculture's
organized,
but
what
they
call
branches,
which
are
a
variety
of
acreage
sizes.
And
then
you
move
down
to
blocks
so
it
typically
organizes
into
blocks
and
by
ranch,
and
that
has
a
variety
of
crops.
B
B
C
B
C
C
B
Model
was
driven
by
lots
and
lots
and
lots
and
lots
and
lots
of
data
from
the
field
and
then
proved
out
and
tweaked
and
retweet
yeah
absolutely
so
they
found
it
actually
the
the
model,
the
the
reference
ET
and
the
actual
water
applied.
They
they
proved
it
out
through
trials
pretty
pretty
effectively,
but
there's
some
things
we
can
do
like
the
nitrogen,
quick
test.
You
take
at
a
point
in
time
and
it's
it
changes.
You
know
around
the
field.
B
As
nitrogen
sensors
start
to
become
available,
we
will
be
able
to
fine
tune
those
acres
into
higher
and
higher
degrees
of
resolution.
I
think
at
some
point
you
will
be
able
to
get
to
plant
level
resolution
and
you'll
get
irrigation
levels
at
that
that
level
resolution.
It's
just
not
we're
not
quite
there.
Yet.
A
Jason,
you
might
be
aware
of
this
project.
This
is
you
know,
it's
very
experimental,
not
games
really
working
with
people
who
are,
you
know
doing
a
production,
scale,
agriculture,
but
the
terror
arrest
project
that
has
the
grow
field
in
Missouri
and
Arizona.
That
does
have
plant
level
granularity
and
it's
but
it.
But
it's
because
they're,
you
know
trying
to
look
at
specifically
how
plants
grow
under
different
conditions,
yeah.
B
B
A
lot
of
there's
a
lot
of
things
that
are
getting
to
that
level
to
try
to
you
know
to
try
to
explain
what
happened
in
the
field.
But
the
thing
that's
unique
about
this
that
would
couple
with
that
would
be
here
is
a
recommendation
for
what
you
need
to
do
next,
that's
driven
by
science,
so
that
that's
one
of
the
differences,
but
there's
a
lot
of
like
down
to
the
resolute.
You
know
very,
very
plant
resolution,
including
plant
level
sensors.
A
Everyone
cares
about
agriculture,
but
actually
regionally,
there's
different
approaches
because
California
agriculture
from
what
I
understand
it
and
hope
I'm
paraphrasing
correctly
Gabe
focus,
is
on
a
lot
of
niche
niche
crops,
and
so
you
are
wanting
to
control
things
that
the
sub
acre
level,
whereas
say
in
the
Midwest.
It's
okay,
you
know
granularity
ad.
Just
even
you
know,
tens.
C
C
B
Yeah,
that's
that's
who's
gonna
say
was
that
we've
built
this
as
a
platform,
so
right
now
we're
getting
Hawaiian
crops
on
which
also
irrigated
but
they're.
The
the
nice
thing
the
way
Michaels
built
this
and
because
of
the
way
California
agriculture
is.
We
got
to
get
lettuce
on
and
those
are
that's
very
different
than
tree
nuts,
and
so
we
built
it
with
a
platform
of
mine.
B
So
we
are,
we
are
actually
planning
to
roll
it
out
to
south
of
South,
America
and
Africa
and
create
approaches
to
localize
it
in
every
region
of
the
world,
for
nitrogen
and
irrigation
management,
and-
and
we
built
the
the
underpinnings
to
do
that,
we
have
to
probably
partner
with
with
a
commercial
industry
partner
or
several
to
make
that
happen.
But
the
engine
is
there.