iot in agri-food
TRANSCRIPT
Internet of Things in the Agri-Food sector
Sjaak WolfertSr. Scientist Information management & ICT in Agri-Food
Centric Kennis- en Innovatiesessie, Gouda, 28 September 2016
Your image of farming?
Is this the actual image?
Wat doen wij op het gebied van informatiemanagement en ICT?
Missie: wetenschappelijke ondersteuning van de agri-food business bij het implementeren van ICT-oplossingen door: Analyse – wat zijn de ICT-ontwikkelingen en wat
betekent dat voor uw bedrijf(stak)? Ontwerp – hoe zou de ICT-oplossing er uit moeten zien?
(referentie-architectuur en infrastructuur) Implementatie – d.m.v. pilots prototype-oplossingen
ontwikkelen, veelal in sector-brede of -overstijgende publiek-private projecten
Future Internet PPP – 300 M€ EU funding
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FIWARE Generic Enablers
Brief history on FIWARE\Agri-Food
2011-2013: SmartAgriFood - a FIWARE-based conceptual architecture and prototype applications (5 M€)
2013-2015: FIspace – B2B business collaboration platform for agri-food & logistics (+ apps) (13.5 M€)
2014-2016: Accelerators: SmartAgriFood2, FInish, FRACTALS (~17 M€) - 125 apps/start-ups based on FIWARE/FIspace
Sep. 2016: FIWARE Foundation established with 3 verticals:Smart Cities, Industry and Agri-Food
2017-2020: IoF2020 – The Internet of Food and Farm (30 M€) - IoT large-scale pilot for smart farming and food security
ICT-induced innovations in the Agri-Food sector
Precision Farming Better management Segment Cons. supportService ++
Open farm management systems with specific apps
Distance-advise on diseases etc.Computer-aided advise and
decisionsRegionally pooled data analysis
for science and advise
Personalized advise with new appsOnline shops
Integrated supply chainsfeedback consumer-producer
Measure, pay sustainabilityBetter T&T*
Paperless chain Store
replenishment Category
management
Sustainability HealthSafety + TransparencyFeed the growing world
LoyaltySmall Cost priceGRIN Service Cope with retail
Transport Transport Transport
Input industriesFarmer Food processor Retail / consumerSoftware
Provider
Logistic solution providers
*Tracking and Tracing
FI-Ware enabled Cloud Platform
CloudInformation
systems
SmartAgriFood: conceptual cloud architecture
sensorsactuators
data sources(‘Internet of Things’)
localInformation systems
App store
Services Spraying Advisory Services Meteorological Service
State and Policy Information Service
Consumer Food safety service
E-agriculturist Service for spraying potatoes Machine Breakdown
Service
Transport
User’s devices
Other sources
smart sensing & monitoring
smart analysis & planning
smart control
Smart Farming: closing the cyber-physical management cycle
BIG DATA
Precision Agriculture
Closing the whole management cycle is complex and difficult adoption is still low
Ag Equipment: mobile networks
• Tractor and Implement are acting as one network• Always connected!
Cloud / Internet
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WWW.CONNECTERRA.IO
Our solution: The Dairy MonitorComplete animal healthcare in one device. Based on sensor data we are able to provide the farmer with valuable insights and actions
Heat and Health Detection
Farmer Insights
Location Services
No more graphs to understand, the system tells you what to do!
Track animal movements and grazing habits to enable organic certifications
Early detection of heat and health issues improves productivity by 20%
Sensors
Algorithms run in the cloud
Insights & actions
Involving the entire supply chain network and beyond
Source: Hisense.com
Smart Farming
Smart Logisticstracking/& tracing
Domotics HealthFitness/Well-being
Cloud Event Management System
Location A Location B
VirtualPlant
VirtualLocation A
VirtualLocation B
Environment
updatePlant
location update
Environment
update
Tracking and Tracing and Meat Awareness (TTAM)
What needs to happen behind the scenes...
Event Data Repository
Registering event data with EPC* standard
Why e.g. Deliver
Whate.g. Pallet EPC1, EPC2,.., etc.(GIAI)
Wheree.g. door in distribution center(GLN)
Whene.g. 1.06.2016 08:46:00 UTC+1
*EPC standard is founded by GS1, but is now ISO standard
Smart Food Awareness
To satisfy needs of each consumer by providing transparent and tailored information about agri-food products.I am a Royal Gala
apple from south Spain, I was grown without pesticides following organic farming criteria, I
have been here for 1 day, my carbon
footprint is 1,2 kg CO2e.
I am a self-conscious
consumer that wants to now
where my food comes from and
how it is produced
App store
From conceptual architecture & prototypes to a real software platform and Apps
Services
sensorsactuators
data sources(‘Internet of Things’)
LocalISs
Spraying Advisory Services
Meteorological Service
State and Policy Information Service
Consumer Food safety service
E-agriculturist Service for spraying potatoes
FI-Ware enabled Cloud Platform
Machine Breakdown Service
User’s devices
Other sources
CloudIS
Transport
I2NDIoTIoCIoSS&T
GENERIC ENABLERS
Base Technologies
ValidationT270: Security, Privacy, Trust Framework: SPT (KOC)
T250: System & Data Integration (ATOS)
T240: B2B Collaboration Core (IBM)
T230: App Store (IBM)
T220: User Front-End (ATOS)
T260
: Ope
ratin
g E
nviro
nmen
t(IB
M)
T280: Softw
are Development Toolkit:
SDK (ATOS)
FIspace platform High Level Architecture
I2NDIoTIoCIoSS&T
GENERIC ENABLERS
Base Technologies
Validation
1. Crop Protection Information Sharing
2. Greenhouse Management & Control
3. Fish Distribution & (Re-)Planning
4. Fresh Fruit and Vegetables QA
5. Flowers & Plants SC Chain Monitoring
6. Meat Information Provenance
7. Import & Export of Consumer Goods
8. Tailored Information for Consumers
Trials:
Security, Privacy, Trust Framework: SPT
System & Data Integration
B2B Collaboration Core
App Store
User Front-EndO
pera
ting
Env
ironm
ent
Software Developm
ent Toolkit: SDK
FIspace approach: Software Mass Customisation
FIspaceApp Store
My FIspace (BCM)
DevelopApps
Pre-configureUser Systems
Customize &Use Systems
FIspace Platform
Single AppConfiguration
App developer Business Architect End User
Example: Spraying Scenario
Scenario: get expert advice for spraying to handle disease on tomatoes
State AuthorityFranz Farmer Ed Expert
Spraying (follow advice)
Create Advice
Approval
Request Advice
Colla
bora
tive
Busin
ess P
roce
ssBa
ck-E
nd S
yste
ms Farm / GH
Management Systems
Sensor Network in the Greenhouse
Agronomist Expert System
Regulations & Approval System
1
2
3
FIspace App‘Weather
Information’FIspace App
‘Spraying Expert Advice’
FIspace App‘Spraying
Certification’
product type, etc.
sensor data (access details)
suggested chemical
advice details
certificationdetails
23
Redefining Industry Boundaries (1/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)
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3. Smart, connected product
+
+
+
2. Smart Product
1. Product
Redefining Industry Boundaries (2/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)
25
5. System of systems
farmmanagement
system
farm equipment
system
weather data
system
irrigation system
seed optimizing
system
fieldsensors
irrigation nodes
irrigation application
seedoptimizationapplication
farmperformance
database
seeddatabase
weather dataapplication
weatherforecastsweather
maps
rain, humidity,temperature sensors
farm equipment
system
planters
tillers
combineharvesters
4. Product system
Redefining Industry Boundaries (2/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)
26
5. System of systems
farmmanagement
system
farm equipment
system
weather data
system
irrigation system
seed optimizing
system
fieldsensors
irrigation nodes
irrigation application
seedoptimizationapplication
farmperformance
database
seeddatabase
weather dataapplication
weatherforecastsweather
maps
rain, humidity,temperature sensors
farm equipment
system
planters
tillers
combineharvesters
4. Product system
Your company
Redefining Industry Boundaries (2/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)
27
5. System of systems
farmmanagement
system
farm equipment
system
weather data
system
irrigation system
seed optimizing
system
fieldsensors
irrigation nodes
irrigation application
seedoptimizationapplication
farmperformance
database
seeddatabase
weather dataapplication
weatherforecastsweather
maps
rain, humidity,temperature sensors
farm equipment
system
planters
tillers
combineharvesters
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?
Battlefield of IoT, Big Data and Farming
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Farm
Farm
Farm
Farm
DataStart-ups
FarmingCooperativesOpen Ag Data
Alliance...
AgBusinessMonsanto
CargillDupont
...
Tech Companies
GoogleIBM
Oracle...
Ag TechJohn Deere
TrimblePrecision planting
...
TechStart-upsFarm
TechStart-ups
DataStart-upsVenture
CapitalAnterra
Founders FundKleiner Perkins
...
Farm
New Business Models based on Big DataSee: Arent van 't Spijker: "The New Oil - using innovative business models to turn data into profit“, 2014
Basic data sales●commercial equivalent of open data (e.g. FarmMobile)
Product innovation●use data to improve your product (machinery industry, e.g. John
Deere, Lely’s milking robots) Commodity swap
●data for data (e.g. between farmers and (food) processors to increase service component)
Value net creation●pool data from the same consumer (e.g. AgriPlace)
Value chain integration ●use data to control the whole chain (e.g. Monsanto’s Fieldscript)
Example: Monsanto Fieldscripts
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PRESCRIPTIVE FARMING
based on VARIABLE RATE APPLICATION
DATA-FAIR:Open Software
EcosystemStakeholders
PlatformsApps + services
Knowledge models
Security, Privacy, TrustBusiness models
Data sharing
Possible example of open collaboration
Farmer
Open Architecture & InfrastructureEvent-driven, Configurable, Customizable
Standards & Open Datasets
Real-time data sharing
IoT layer
Challenges to overcome
Interoperability between IoT devices, applications and platforms – open architectures, standards, etc.
Development of IoT for harsh environments - open air, dust, living animals, etc.
Reliable and stable wireless communication and energy-efficient technologies - e.g. LoRa, Sigfox
Appropriate business models to boost use of IoT Governance issues: security, privacy and trust Create a large-scale, sustainable, collaborative IoT
ecosystem
32
Internet of Food and Farm 20202017-2020 - 70+ partners - 30M€ funding
IoF2020 – Large Scale Pilot
Wrap-up
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● Open infrastructure and software development and business
models are key issues Two extreme scenarios:
1. Strong integrated supply chain in whichfarmer is franchiser/contractor with limited freedom
2. Open collaboration network in which a farmer isempowered through easier switch betweensuppliers and customers
Reality somewhere in between?
Farmer
Farmer
Thanks for your attention!
Questions?
More information
[email protected]/in/sjaakwolfert/ Twitter: @sjaakwolferthttp://www.slideshare.net/SjaakWolfert