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Big Data and Smart Farming
Sjaak Wolfert
Arable – Future Farming seminar, GFIA Europe, Utrecht, 10 May 2017
BIG
DATA
Advancements in Farming
CONTROL
SENSING
& MONITORING
ANALYSIS
& PLANNING
SMART
SMART
SMART
Involving the entire supply chain and beyond
Smart Farming
Smart Logistics
tracking & tracing
Domotics Health
Fitness/Well-being
Redefining Industry Boundaries
3. Smart, connected product
+
+
+
2. Smart Product
1. Product
Adapted from: Porter and Heppelmann, Harvard Business Review, 2014)
5. System of systems
farm
management
system
farm
equipment
system
weather
data
system
irrigation
system
seed
optimizing
system
field
sensors
irrigation
nodes
irrigation
application
seed
optimization
application
farm
performance
database
seed
database
weather data
application
weather
forecasts
weather
maps
rain, humidity,
temperature sensors
farm
equipment
system
planters
tillers
combine
harvesters
4. Product system
Adapted from: Porter and Heppelmann, Harvard Business Review, 2014)
5. System of systems
farm
management
system
farm
equipment
system
weather
data
system
irrigation
system
seed
optimizing
system
field
sensors
irrigation
nodes
irrigation
application
seed
optimization
application
farm
performance
database
seed
database
weather data
application
weather
forecasts
weather
maps
rain, humidity,
temperature sensors
farm
equipment
system
planters
tillers
combine
harvesters
4. Product system
Your company
5. System of systems
farm
management
system
farm
equipment
system
weather
data
system
irrigation
system
seed
optimizing
system
field
sensors
irrigation
nodes
irrigation
application
seed
optimization
application
farm
performance
database
seed
database
weather data
application
weather
forecasts
weather
maps
rain, humidity,
temperature sensors
farm
equipment
system
planters
tillers
combine
harvesters
4. Product system
Your company
Farmer:
How many platforms must
I use?
Developer:
On how many platforms
should I offer my
solution?
Platform owner:
How many connections do
I need to maintain?
The battlefield of IoT, Big Data and Farming
Tech
Companies
Tech
Start-ups
Tech
Start-ups
Farm
Farm
Farm
Farm
Farming
Agri-
Business
Ag Tech
Farm
Venture
Capitalists
Data
Start-ups
Data
Start-ups
Farm
Governance and business issues
9
Code of Conduct
Ag Start-ups in the USA
10
New Business Models in data-driven innovations
11
 Basic data sales
 Product innovation
 Commodity swap
 Value net creation
 Value chain integration
Source: Arent van 't Spijker: "The New Oil - using
innovative business models to turn data into profit“, 2014
Basic data sales
How does it work?
- A ‘box’ collects all data
- Data is stored in a cloud
- Data is being marketed/invested
- Farmer gets a share of profit
“Farmers think their trust is violated”
Their data goes to multinationals that promise
high future yields based on big data,
while farmers have to pay for everything
Commodity swap - data for data
Many farmsIndividual farm
Data
Benchmark
Analytics
Value Chain Integration: FieldScripts
PRESCRIPTIVE FARMING
based on PRECISION
AGRICTULTURE
Farmers Business Network – value net creation
• Owned by farmers
• Funded by Google
Ventures
2015:
7 million acres ground
Assessment of 500 seeds and
16 crops
Costs for farmer: $ 500 / year.
Wrap-up and conclusions
 Agri-Food chains become more
technology/data-driven
 Probably causes major shifts in
roles and power relations
among different players in agri-
food chain networks
 Governance and Business
Models are key issues
Two extreme scenarios:
1. Strong integrated supply chain
2. Open collaboration network
Reality somewhere in between!
Thanks for your
attention
sjaak.wolfert@wur.nl
nl.linkedin.com/in/sjaakwolfert/
Twitter: @sjaakwolfert
http://www.slideshare.net/SjaakWolfert
17

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Big data and smart farming

  • 1. Big Data and Smart Farming Sjaak Wolfert Arable – Future Farming seminar, GFIA Europe, Utrecht, 10 May 2017
  • 2. BIG DATA Advancements in Farming CONTROL SENSING & MONITORING ANALYSIS & PLANNING SMART SMART SMART
  • 3. Involving the entire supply chain and beyond Smart Farming Smart Logistics tracking & tracing Domotics Health Fitness/Well-being
  • 4. Redefining Industry Boundaries 3. Smart, connected product + + + 2. Smart Product 1. Product Adapted from: Porter and Heppelmann, Harvard Business Review, 2014)
  • 5. 5. System of systems farm management system farm equipment system weather data system irrigation system seed optimizing system field sensors irrigation nodes irrigation application seed optimization application farm performance database seed database weather data application weather forecasts weather maps rain, humidity, temperature sensors farm equipment system planters tillers combine harvesters 4. Product system Adapted from: Porter and Heppelmann, Harvard Business Review, 2014)
  • 6. 5. System of systems farm management system farm equipment system weather data system irrigation system seed optimizing system field sensors irrigation nodes irrigation application seed optimization application farm performance database seed database weather data application weather forecasts weather maps rain, humidity, temperature sensors farm equipment system planters tillers combine harvesters 4. Product system Your company
  • 7. 5. System of systems farm management system farm equipment system weather data system irrigation system seed optimizing system field sensors irrigation nodes irrigation application seed optimization application farm performance database seed database weather data application weather forecasts weather maps rain, humidity, temperature sensors farm equipment system planters tillers combine harvesters 4. Product system Your company Farmer: How many platforms must I use? Developer: On how many platforms should I offer my solution? Platform owner: How many connections do I need to maintain?
  • 8. The battlefield of IoT, Big Data and Farming Tech Companies Tech Start-ups Tech Start-ups Farm Farm Farm Farm Farming Agri- Business Ag Tech Farm Venture Capitalists Data Start-ups Data Start-ups Farm
  • 9. Governance and business issues 9 Code of Conduct
  • 10. Ag Start-ups in the USA 10
  • 11. New Business Models in data-driven innovations 11  Basic data sales  Product innovation  Commodity swap  Value net creation  Value chain integration Source: Arent van 't Spijker: "The New Oil - using innovative business models to turn data into profit“, 2014
  • 12. Basic data sales How does it work? - A ‘box’ collects all data - Data is stored in a cloud - Data is being marketed/invested - Farmer gets a share of profit “Farmers think their trust is violated” Their data goes to multinationals that promise high future yields based on big data, while farmers have to pay for everything
  • 13. Commodity swap - data for data Many farmsIndividual farm Data Benchmark Analytics
  • 14. Value Chain Integration: FieldScripts PRESCRIPTIVE FARMING based on PRECISION AGRICTULTURE
  • 15. Farmers Business Network – value net creation • Owned by farmers • Funded by Google Ventures 2015: 7 million acres ground Assessment of 500 seeds and 16 crops Costs for farmer: $ 500 / year.
  • 16. Wrap-up and conclusions  Agri-Food chains become more technology/data-driven  Probably causes major shifts in roles and power relations among different players in agri- food chain networks  Governance and Business Models are key issues Two extreme scenarios: 1. Strong integrated supply chain 2. Open collaboration network Reality somewhere in between!
  • 17. Thanks for your attention sjaak.wolfert@wur.nl nl.linkedin.com/in/sjaakwolfert/ Twitter: @sjaakwolfert http://www.slideshare.net/SjaakWolfert 17

Editor's Notes

  • #15: Hier volgen een paar concrete voorbeelden van deze business modellen vooralsnog vnl. uit de USA. Ik kan hier snel doorheen gaan of skippen afhankelijk van de tijd.