Which are the challenges and which the opportunities from using open data and source in agrifood sector

1. Using
Open
Data
and
Source
to
build
innova6ve
services
in
agrifood
sector
Agro-­‐Know
Open
Data
and
Source
Workshop,
Lamia
21
May
2015

3. An
extraordinary
company
that
captures,
organizes
and
adds
value
to
the
rich
informa+on
available
in
agricultural
and
biodiversity
sciences,
in
order
to
make
it
universally
accessible,
useful
and
meaningful.
http://www.agroknow.gr

4. WHAT
WE
ARE
DOING

5. helping
organiza6ons
to
address
data
problems

6. AGRIS
(hOp://agris.fao.org)
Agro-­‐Know
is
hos6ng
the
Data
Processing
Unit
of
the
tradi6onal
FAO
AGRIS
service
&
is
responsible
for
the
data
inges6on
&
filtering
of
the
AGRIS
bibliographic
records
data-­‐powered
solu6ons:
totally
based
on
open
data
and
source

7. organizing
events
to
spur
innova6on
challenges
crea6vity
excellence
hack
using
open
data

8. transferring
innova6on
to
the
regional
ecosystem
collabora6on
with
stevianet.gr
data
sensing
experiment
citytofarm.gr
plaWorm
for
ag-­‐machinery
sharing

9. WHY
AGRICULTURE
SECTOR

10. 10
Key
facts
about
agricultural
trends
Agriculture
is
about
to
experience
a
“growth
shock”
in
order
to
cover
the
exponenHally
increasing
food
needs
of
the
global
populaHon
• All
demographic
and
food
demand
projecHons
suggest
that,
by
2050,
the
planet
will
face
severe
food
crises
due
to
our
inability
to
meet
agricultural
demand
–
by
2050:
• 9.3
billion
global
populaHon,
34%
higher
than
today
• 70%
of
the
world’s
populaHon
will
be
urban,
compared
to
49%
today
• food
produc6on
(net
of
food
used
for
biofuels)
must
increase
by
70%
• According
to
these
projec6ons,
and
in
order
to
achieve
the
forecasted
food
levels
by
2050,
a
total
investment
of
USD
83
billion
per
annum
will
be
required
• A
large
part
of
this
investment
will
need
to
be
focused
on
R&D

11. 11
Open
Data
in
Agriculture
One
of
the
most
promising
routes
to
agriculture
modernisaHon
is
the
provision
of
Open
Data
to
all
interested
parHes
• In
an
era
of
Big
Data,
one
of
the
most
promising
routes
to
achieve
R&D
excellence
in
agriculture
is
Open
Data,
and
in
par6cular:
– provisioning,
– maintaining,
– enriching
with
relevant
metadata
and
– making
openly
available
a
vast
amount
of
open
agricultural
data
• The
use
and
wide
disseminaHon
of
these
data
sets
is
strongly
advocated
by
a
number
of
global
and
na6onal
policy
makers
such
as:
– The
New
Alliance
for
Food
Security
and
Nutri6on
G-­‐8
ini6a6ve
– FAO
of
the
UN
– DEFRA
&
DFID
in
UK
– USDA
&
USAID
in
the
US

12. CAN
I
FIND
OPEN
DATA
FOR
THE
AGRIFOOD
SECTOR?

13. scien6fic
informa6on

14. demographic
and
financial

15. sta6s6cal
and
maps

16. food
safety
and
security

17. sta6s6cal
at
na6onal
level

18. geo
at
na6onal
level

19. market
prices
stream

21. challenges
• not
easy
to
organize
and
manage
data
• quality
of
data
• data
is
not
structured
e.g.
pdfs,
doc
• difficult
to
open
exis6ng
data
following
the
data
and
metadata
standards
• complex
licensing
schemas
• missing
skills
and
knowhow

22. USING
OPEN
DATA
AND
SOURCE
TO
BUILD
INNOVATIVE
SERVICES

23. Using
open
data
from
world
bank
to
help
development
of
countries:
support
decisions
and
aOract
investment

24. Help
organiza6ons
to
open
their
data

25. Crowdsourcing
and
opening
food
informa6on

26. Crowdsourcing
and
opening
informa6on
about
agricultural
machinery

27. Using
Maximum
Residue
Limits
published
by
the
public
agencies
and
organiza6ons
to
build
a
plant
protec6on
products
informa6on
service

28. WHAT’S
NEXT:
IN
5
YEARS
FROM
NOW

29. bring
closer
scien6fic
informa6on
to
agricultural
prac6ce:
smart
agriculture
case
Organic
agriware
app
propose
soluHons
based
on
quanHfied
field
data
and
observaHons

30. how
safe
is
the
fish
that
I
buy?
RASFF
FAO
Major
Fishing
Areas
PolluHon
informaHon

31. using
open
data
and
linked
data
technologies
to
correlate
economical
data
with
food
safety
data
(1/2)
1. eprices.gr:
prices
aggregator
2. diaugeia.gr:
real
6me
data
stream
of
spending
decisions
3. e-­‐procurement:
procurement
data
for
public
sector
4. RASFF:
Food
Safety
data
5. EU
pesHcides
DB:
pes6cides
data
and
MRLs

32. using
open
data
and
linked
data
technologies
to
correlate
economical
data
with
food
safety
data
(2/2)
• extract
data
from
heterogeneous
sources
for
specific
products
e.g.
tomatoes
– expenses
of
public
organiza6ons
for
buying
tomatoes
– price
of
the
product
in
super
markets
– food
safety
issues
related
to
the
specific
product
– pes6cides
connected
to
the
food
safety
issues
– price
of
the
specific
pes6cide
• analy6cs
and
meaningful
conclusions
– how
the
price
of
a
product
is
related
to
food
safety
issues

33. WHAT
IS
NEEDED

34. is
there
a
recipe?
• open
data
• open
hardware
• open
business
models
• open
methods
• innova6ve
ideas
• work,
work,
work
and
• RIGHT
VALUES

35. thank
you
stoitsis@agroknow.gr