Introduction of the Fruit 4.0 project and data management for operational monitoring and control of fruit orchard management.

1. Fruit 4.0: Towards data-
driven fruit production
Cor Verdouw, Jan Willem Kruize, Nico Bondt, Peter Frans de
Jong, Jan van der Zande

2. Problem Context
Fruit sector:
need for reliable,
accurate and
timely
information

3. Fruit 4.0: data-driven fruit production
 Better fruit quality, sustainability and efficiency by better
orchard and management information
 Focus on a high technology readiness level and solutions that
are affordable for small family orchards
 Combination use cases (‘low hanging fruit’) and common data
management approach (‘orchard of the future’)
 2017-2020, part of Programme Precision Horticulture
3
Project Partners:

4. Fruit 4.0 Use Cases
 Case 1: Fruit growth sensing and yield/quality
prediction
 Case 2 Blossom monitoriing and precision
thinning
 Case 3 Grading information for orchard
management optimiztion
4

5. Highlight case 1: segmentation blossom
5

6. Highlight case 2: RGB segmentation fruits
6

7. Highlight case 3 Pluk-o-Trak harvest data
7
Yield volume (kg/m) Average size (mm) Defect on skin (0-100)

8. Research objective
8
To what extent do existing
data management systems
meet the information needs
of the Dutch fruit
production domain?

9. Methodology
9
User requirements
- 12 interviews
- 1 Workshop
- desk research
Investigation
existing systems
- 10 interviews
- 1 workshop
- desk research
Long list (n=75)
Shortlist (n=21)
Analysis & reporting
Advice pilots data
management
Design To Be architecture

10. High Level Information Architecture
Decision Support/
Intelligence
Operational
Management
Sensing & detection
Actuation & Robotics
Sensing & Control Platform
Precision Pesticide
Spraying module
Weather
app
Yield Prediction
Service
Supply Chain
Systems
Fertilization
Advice
Enterprise
Management
Irrigation Advice
Orchard Management
System
......

11. Current Systems – Shortlist Fruit & Related Agri Sectors
FRUIT
Market Target Group Organisational
Name NL EUR INT Fruit
Open
field
Green-
house Other Phase # users
#
employee
s Openness
RegPro X - - X X - - Mature product > 500 unknown closed
EVA X - - X - - - Young product unknown unknown unknown
ISAgri X X - X X - - Mature product unknown 1-10 closed
TraceMasters X - - X - - - Young product unknown unknown unknown
AgriPlace X - - X X - X Mature product > 500 11-25 closed
Greenery SAP
Portal X - - X - - - Young product > 500 > 150 closed
AgriMORE X - - X - - X Mature product unknown 1-10 closed
gQretail, gQmilieu,
gQinkoop X - - X X X - Mature product unknown 1-10 semi-open
11
RELATED AGRI SECTORS (especially arable farming)
Market Target Group Organisational
Name NL EUR INT Fruit
Open
field
Green
house other Phase # users
#
employees
Openness of
the system
FieldView - - X - X - - Mature product unknown unknown unknown
FBN Analytics - - X - X - - Mature product > 500 26-50 onbekend
Akkerweb X - - - X - - Young product > 500 1-10 semi-open
FarmWorks X X X - X - - Mature product > 500 51-150 semi-open
FarmNet - X - - X - - Mature product > 500 26-50 semi-open
CropVision X - - - X - - Mature product onbekend 51-150 semi-open

12. Current Systems - IoT platforms
12
Adapted from UNIFY-IoT 2016
Multination corporations
Commercial
Cloud centric
Microsoft Azure IoT
IBM Watson IoT
Amazon AWS IoT
Google IoT
Cloud centric Industry centric
PTC ThingWorx
Bosch SW Inno
Suite
GE Predix
Industry centric Comms centric
PTC Axeda
CISCO/Jasper
Ayala Networks
Aeris IoT
Comms centric Device centric
Intel IoT
ARM mbed
Device centric
SME Platforms
ThingSpeak
Xively
Carriots
EvryThng
SensorCloud
Losant
SME platforms
Open source
Kaa
Nimbits
Eclipse IoT
Open Remote
FIWARE
OpenIoT
sensiNact
Open source
Over 360
IoT platforms in total!

13. Current situation
Several FMIS systems
for fruit production
(although not always very advanced...)
Several Supply
Chain Information
Systems
MAIN GAP
Sensing and control platform is
lacking for fruit production!

14. Sensing & Control Platform
Need for a good Sensing & Control
platform!
14
Supply Chain Systems
Orchard Management
System
External interfaces
Analytics Additional tools
Data visualization
Data processing and action management
Device management
Connectivity and normalisation
Datastorage
Securityandprivacy

15. How to bridge this gap?
A. Extend existing orchard management systems
with a Sensing & Control layer
B. Adapt platforms from adjacent sectors (especially
arable farming) to fruit-specific requirements
C. Implement a generic IoT Sensing & Control
platform in the fruit domain
15

16. A. Extend existing orchard mgt system
16
Advantages
•Proven practical usability
in the fruit domain
•No change of software
vendor necesarry
•Long term commitment
of the vendor to the fruit
sector
•Domain knowledge
available at the vendors Disadvantages
•Knowledge of other
sectors not (always)
reused
•Technology of existing
systems not appropriate
for IoT
•Small customer base
(only the sector)

17. B. Adapt platforms from other agri sectors
17
Advantages
• Platform already
developed and used
• Reuse implementation
experiences related
agri sectors
• Larger customer base
• Sector knowledge open
fields
Disadvantages
• Limited experience of
platform in the fruit
sector
• Focus and priorities
might shift in case of
short term
disappointments
• Fruit growers have to
switch to another
software vendor

18. C. Implement a generic IoT Sensing &
Control platform in the fruit domain
18
Advantages
• Advanced toolbox
directly available
• Robust technology, e.g.
concerning security,
privacy, data volume,
connectivity, etc.
• Future proof due to the
development power of
big tech companies
Disadvantages
• No sector specific
functionalities, limited
practical
implementations in
agriculture
• Limited domain
knowledge platform
vendors
• Complexity en
multitude of tools

19. Recomendations data management pilots
19
1. Pilot strategy B
● Strategy B: Apply platforms adjacent sectors to fruit
orchards
2. Pilot combi strategies A & C
● Extend existing fruit orchard systems (strategy A) based
on a generic IoT platform (strategy C)
3. Pilot ‘Secure Data Sharing’
● Sharing authorised data between different
platforms/systems
● E.g. JoinData based on standards Frugicom
NO ONE-SIZE-
FITS ALL!

20. Fruit 4.0: Towards data-
driven fruit production
Contact info:
Cor.Verdouw@wur.nl
JanWillem.Kruize@wur.nl