Dr. Joachim Stiegemann Head of Product Management CLAAS E-Systems Agriculture machinery, processes and digital options as part of Farming 4.0 IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21 st , 2017
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Dr. Joachim Stiegemann
Head of Product ManagementCLAAS E-Systems
Agriculture machinery, processes and digital options as part of Farming 4.0
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
CLAAS at a glance
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 20172
Legal form
Supervisory Board
Shareholders‘ committee
Sales 2016
Income before taxes
Foreign sales
Employees worldwide
KGaA mbH
Cathrina Claas-Mühlhäuser(Chairwoman)
Helmut Claas(Chairman)
€3.6 thousand million
€93.5 million
78,6 %
11.300
Strong core business
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 20173
Core Business
What are the next steps: Getting Bigger ?
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 20174
Tractors Combines
Development of engine power in tractors and combines (1900 – 2015)
100
200
300
400
500
600
1900 2000197019501930 2020
Engine hp
Calendar Years
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 20175
100
200
300
400
500
600
1900 2000197019501930 2020
Engine hp
Calendar Years
Cross-LinkedSystems
Technology development
y
Automation
Mechanisation
1900 19501930
Manual Systems
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Trends in European Agriculture (2030)
60% Farmers cited Decision / Precision Ag as an Influential Trend
Precision Ag Automation Consolidation Professionalism Labour Shortage60% 44% 40% 36% 28%
Source: BCG Interviews with Farmers in France, Poland and the UK
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Compound annual growth rate in „Precision Farming“ from 2014 to 2020 per region [in Billion Euro]
1) Roland Berger July 2015 Will big data feed the world in the future
Strong core business – enhance capabilities
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 20179
Core Business
• IoT
• TELEMATICS
• Data Service
Web Communication
• Sensor Systems
• Optical Systems
• GPS based Systems
Electronics
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Digital Options: Communication/Positioning/Navigation
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201711
From “PoKéMoN GO” to Precision Farming
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201712
Technical Basics for Precision Farming
GPSPosition Navigation
GeneralManagement
MachineOperation
VehicleGuidance
FleetManagement
Documentation Operation Single Vehicle Vehicle Group
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Agriculture Processes
Industrial Processes
Data Sources from Agriculture Processes
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
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Plant production and data space
FarmManagement
Software
Geo PositionLeaf area indexVariable Rate Appl.Implement ApplianceSoil type Seed depth Color index Air moisture YieldData-Sets Algorithmen
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
CLAAS Residential Infrastructure
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365FarmNetServer
CCM
PC/ Laptop Smartphone/ Tablet
Machine
Digital Data Stream – Infrastructure Requirements
CAN-Bus
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Connectivity Options
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201717
TELEMATICS: Information Dashboard
Information in detail
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201718
Machine active time
Process timeIdle Time
Driving Time
Area harvested Yield
Crop Moisture Troughput
Operation in Sunflowers
02:23h 11.1 ha 0.46 t/ha 16.12 % 5.48 t/h
Dashboard/Machine data
Settings
Fuel consumption
Speed
etc.
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201719
Accurate overview of machine settings and performance
Easy-to-read information to optimize performance
Display of “in field” Operation: Combine settings and Operation Parameters
Operation in Sunflowers
Map Screen
Idle Times
Unloading
Full Grain Tank
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201720
Analyze non productive times
Identify route cause
Display of “in field” operation: Wheat harvest logistics
Map Screen
Engine load
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201721
Understand how exactly machines did work
Reflects crop and field conditions
Display of “in field” operation: Combine capacity usage in wheat harvest
Process:Yield mapping
GPS-PositionTimeYieldMoistureEngine loadMachine settingsFuel consumptionetc.
Systems:TELEMATICS365FarmNet
Phone NetworkCommunicationModulesInternetComputingPowerServer Capacity
Digital systems and algorithms do allow to track the harvest operation precisely
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 201722
Yield
Nitrogen level
Soil textureApplications
Soil moisture
Layer management in a digital setup allows to analyze yield data and crop growth
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Assoziation Rules Mining Test Bench Optimization 360 ° Customer
Predictive Maintenance Machine Usage Change Point Detection
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
Digital data base enhance options to optimize industrial products and services
Data and Mind-Set
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Analog action in a digital environment
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
How Digital is Agriculture Today?
20%over the hump
80%facing the hump
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Projected Precision Farming Revenue Sources for US Ag/Precision Farming Dealers
Source: Precision Farming Dealer 2016 Benchmark Study
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Emerging Actors in the Data Supply Chain
1) Roland Berger July 2015 Will big data feed the world in the future
ConservisAgroptimaFarmerEdgeClimate CorporationFarmobileCeradisLemnaTecNEXT FarmingMapShotsSoilClearAgVitalFields
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
Ag LeaderTopcon
365FarmNet
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2016 AG-Tech-Investments by categories
Source: AgFunder 2016
365FarmNet
Farming in a networkAll in one viewIntegration of all ag processesOne user surfaceOne navigations conceptBase data setPlanning, documenting and analyzingPlant & Cattle Production, staff, storage and energyCross Compliance, Precision FarmingConnecting Economy and Ecology
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Ag-Products getting embedded in the Digital Future
CLAAS Symposium 2017
Smart and Connected Product: CEMOS – AUTOMATIC on LEXION combines
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CRUISE PILOT
AUTO CROP FLOW
AUTO SEPARATION
AUTO CLEANING
AUTO SLOPE
4D Cleaning System
Algorithm based self-learning machine setting system to optimizecombine through put capacity in various harvest conditions
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System of Systems: „Controlled Traffic“
12 m
12,30 m
Header Dimension 12,30 m Tramline Distance12 m Center to Center
Track Width3 m Center to Center
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
no tracks no tracks
In a „Controlled Traffic System“ all vehicles are GPS guided – using at all times the same tracks in the field.
IEEE IoT Vertical & Topical Summit for Agriculture, Paris, May 21st , 2017
Cloud
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Connecting vehicles along a process chain can lead to more efficiency, mostly in terms of higher operating grade per used vehicle, which results in cost savings.
FLEETVIEW – Utilizing Data for Efficiency in Logistics
Connected Machines as a System of Products
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Connected Machines as a System of Produts
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