Presentation of Eric Tielemans of Basfood BV during CAPIGI 2011 in Amsterdam at 5 April 2011.

1. Look at your crop
before you act

2. *<=H@7<95%
178566>85%
>:7?5@A% *@@>?7C3<%;67<<5@=% $7@:5@=%
+787% 'D5:>976%@59>;5=%
B*1% 23456% 93:;3<5<8=% E7@F5=8%;67<<5@=%
,GH>;:5<8% *<4H=8@A%
25853%
B3F5@<:5<8=%
Source Data Information Applications End Users
Added value
Generic Specific
Knowledge
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

3. Differentiators of
#H=><5==%23456%
• Performance & Cost leadership / ha
• Satellite source independent / Multiple sources handling
• Customization facilities
I@34H9C3<%
• Quality = Correct, Complete, Current, Customized
• State of the art technologies
• Seamless Zoom
• Easy to upscale worldwide
5/57J%I67K3@:%
2 3
• Accurate quantitative data (kg, m ,m , day)
• Variety of dynamic / static data components enable large variety of
applications
• No ground samples needed (short time to conclusion)
• Easy to upscale and downscale
• High frequency updates (days, weeks, etc.)
%&%'()$*+,)-*./%&%%
• Link to third party data (one-stop-shopping)
!!"#$%
%%*)0,1-2,)-%2,2(%

4. !"#$"#%&'%()*+,%-.#+,,)/+.0+%12$$)./%3+04.&,&/5%6789:
%
Smart information existing of:
• Multiple parameters
• Multiple spatial scales (zoom)
• Historic time series
• Future predictions
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

5. • )3%L564%=7:;65=%@5GH>@54M%8D5@5J3@5%<3%L564%7995==%
• N<6>:>854%O3@64O>45%7995==%=55%%%%%%%%%%%%%%%%%%%%%
– OOOPL564633QP93:%%%%
– OOOPL564633QP@H%%
– OOOPL564633QP93:P7@%%
– OOOPL564633QP68%
– OOOPL564633QP;6%R67H<9D%.;@>6%STUUV%
– OOOPL564633QP5=%R67H<9D%.;@>6%STUUV%
– OOOPL564633QP93PW7%R67H<9D%.H?%STUUV%
• /3O%93=8%J3@%;@59>=>3<%J7@:><?%%H;%83%XYT%98%;5@%D7%
7<<H766A%J3@%O55Q6A%><J3@:7C3<%4H@><?%8D5%?@3O8D%
=57=3<%
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

6. • biomass production (kg/ha)
• CO2 intake (kg/ha)
• leaf area index LAI (m2 leaf/m2 ground)
• vegetation index NDVI
• %%1&);#"<+%
• evaporation shortage (mm/week)
• current evaporation (mm/week)
• surplus rain (mm/2 weeks)
• reference evaporation
• Nitrogen content in the top leaf layer (kg/ha)
• Nitrogen content in all leafs (kg/ha)
• Fruit Yield
• Root Yield
%&%'()$*+,)-*./%&%%
• Dry matter content
• Sugar Yield
• Protein content !!"#$%
%%*)0,1-2,)-%2,2(%

7. Meter!
Average field value!
Graph!
growth season history available and
clickable!
Map!
measured value per pixel of !
10 x 10 meter!
2 legenda types!
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

8. %&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

9. Second week of June
Normal & fairly even biomass production
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

10. Fourth week of June
Pattern deviation appears in biomass production
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

11. Third week of July
Biomass production already lagging 30% behind
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

12. Second week of August Harvest
Affected area yields 7.5 ton/ha. Rest of field yields 9.5 ton/ha
Missed earnings on this field in 2010 were ! 1500
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

13. This field was irrigated 3 times during the 2010 season.
At the first irrigation there was no wind and for efficiency
reasons only three irrigation passes were made and the head
end of the field was skipped as well.
4%
4@A% ;5@>3
%&%'()$*+,)-*./%&%%
Weekly water balance of the field%
!!"#$%
%%*)0,1-2,)-%2,2(%

14. One week later
Biomass production indicates that one more irrigation pass plus
the head end, should have been given.
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

15. Four weeks later
Despite additional irrigation, the original mistake remains visible
in the Fieldlook maps, but is invisible to the human eye.
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

16. Ten weeks later
Well irrigated parts of the field yielded 64 ton/ha. The poorly
irrigated parts yielded 60 ton/ha.
Missed earnings on this field in 2010 were ! 2800
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

17. This cornfield
was manured
4 times during
May and July
only to get rid
off manure
inventory
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

18. This cornfield was manured 4 times only to get rid off manure
inventory
Substantial over
fertilization
compared to
regional average
Nitrogen in upper leaf layers
Relatively little
additional growth
compared to
regional average
What about the
Weekly biomass production environment ?
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

19. The farmer of this onion field claimed 100% hail damage on
august 10. First observation from graph below shows that it was a
poor field to begin with. Full damage ! 20.000 was paid.
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

20. The map on the right shows that only half the field was fully damaged.
Insurance paid ! 10.000 too much
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

21. Fieldlook monitors weekly growth of root yield and sugar and
compares the output with actual regional or national averages.
In this field,
weekly growth of
root yield is
slowing down
towards the end
of October.
Consequently
this field moves
up on the
harvest priority
list.
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

22. Optimizing harvest planning using Fieldlook information, easily
results in 1% productivity improvement compared to current
methods.
In the Netherlands this is over 50.000 tons.
In this field,
weekly growth of
root yield is still
very strong in
September and
well above
regional average.
This field was
harvested
prematurely.
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

23. %&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

24. %&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

25. +/0%*@@>?7C3<%;67<<5@%RUZSV
%
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

26. +/0%*@@>?7C3<%;67<<5@%RUZSV
%
%&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

27. %&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

28. %&%'()$*+,)-*./%&%%
!!"#$%
%%*)0,1-2,)-%2,2(%

29. See you at