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Contains confidential proprietary and trade secrets information of CNH Industrial. Any use of this work without express written consent is strictly prohibited.
May 08th, 2018
AG (Re)Evolution
Siena, Tuscany
Antonio Marzia
Head of Connected Services
2 Company Structure
Construction
Equipment
Agricultural
Equipment
Commercial
Vehicles Powertrain
Financial
Services
Company Structure
2
3
The Agricultural Evolution
Mechanization Green Revolution Precision Ag Digital Farming
Introduction of tractors
Increase in efficiency
But labour-intensive system
Relatively low productivity
New agronomic management
practices
Use of fertilizer and pesticide
Improve seed quality
Increase yield
Guidance systems
Yield Monitoring
Variable Rate Application
Telematics
Data management
Farm Management system in real
time
Added-value services
Automation capabilities
Improve Agri processes & food
value-chain (data platforms)
1.0 2.0 3.0 4.0
1900 1950 1990 2010 Time
Precision Technologies
Guide the correct paths
and manage application
rate
Plant/ Fertilize / Spray
only where needed
Planning
Mapping & Data
Collection
Application
Control
Make informed decisions and
select the right seeds &
fertilizers
Harvesting
Which allows them to…
4
Soil Management
Guide the correct paths
and manage in-field
variability
The connection between all stages
is the data stream
Enablers:
• Sensors
• Positioning
• HMI & Usability
• Wireless communication
• Mechatronics
• Path planning
• Web & cloud computing
Results:
• Knowledgeable Farm
Management Decisions
• Machine/Operator Efficiency
• Lower Input Costs
• Higher Yield Production
• Optimized Systems
Seeding / Planting
Need for Off-Board Tools
5
Off-Board Digital Tools
OFF-BOARDOFF-BOARD
MACHINE
DATA
ANALYSIS
DATA
SHARING
OFF-BOARD
MACHINE
ON-BOARD
ISO-XML
REMOTE
ASSISTANCE
API
CNH Defined / Fully Integrated
FARM/FLEET
MANAGEMENT
Connected CNH Industrial program
Service Delivery Platform
Data flowing from vehicles are transmitted through a
telecom network to a Cloud storage and
infrastructure…
… and are made available for elaboration and
statistical/historical analysis…
… and in the end are published to be used for any
purpose by a specific business platform
Business Platforms
Business platforms provide
business-specific applications
based on vehicles’ data to offer
to the customers value-added
telematic services, improving
customer operations as well as
enabling 3rd party services
integration.
Customers
Customers can easily access the applications
provided by the business platforms wherever
they are, should they control their fleets or
verify the driving style of their drivers or
understand the status of the yield or plan
maintenance operations, or…
• Land monitoring
• FMIS
• Data Exchange
• …
• Fleet
management
• Failure alerting
• ….
• Driving style eval
• Fuel advisory
• Intelligent safety
• …
Vehicles
Vehicles are equipped with a device
very similar to a computer that is able
to collect vehicle data (such as
odometer, working hours, fuel
consumption, etc.) and operational
data (such as agronomic information,
driving style, etc.)
6
CNH Industrial Ecosystem
CNH Industrial
CNH Industrial
Ecosystem
Other Data
Sources
Agriculture Data
Owner
Agriculture
Value Chain
7
AgTech: Startups and Unconsolidated Offerings
Highly Dynamic space, with new entrants daily enabled by Traditional Companies,
Venture Capital and Private Equity
8
11
CNH Industrial Digital Roadmap
2019
IoT & Cloud
Edge
Artificial
Intelligence
2020 - 2023 2023 - 2026
1
2
3 IoT & Cloud are the enablers to exploit vehicle’s
connectivity, providing value added services such
as Control Room and flexible maintenance
plans
1
Edge technology will provide the vehicle with
enhanced computing capabilities allowing
services such as Coordinated Vehicle Control
and Advance Machine Auto-Setting
2
Artificial intelligence will extend the set of
services provided on the vehicle offering the next
step of Autonomous Vehicles through
cognitive capabilities
3
12
CNH Industrial Roadmap to Autonomy
Single Machine Management
Logistics and Tasks
Management
Agricultural Ecosystem
Automated Operations
Autonomy
Time
Environmental
sensing
Hardware
Data/Software
Artificial
Intelligence
1990 2010 Now
• Data
Management
• Services
• Guidance
• Yield Monitoring
• Application Control
• Machine Control
• Telematics
• Fleet
management
• Unmanned operations
• Systems’ Auto-settings
• Machine processes
automation
Unmanned Machine with
Artificial Intelligence
13
CNH Industrial Autonomy Milestones
LEVEL 1
*All manned vehicles
GUIDANCE
1999+
LEVEL 2
*All manned vehicles
COORDINATION &
OPTIMIZATION
2018 +
LEVEL 3
*Manned back-up
OPERATOR ASSISTED
AUTONOMY
2020 +
LEVEL 4
*In-field supervision of
unmanned vehicles
SUPERVISED AUTONOMY
2023 +
LEVEL 5
*No local supervision
FULL AUTONOMY
2025 +
14
Machine Communication Hardware Components
Remote Monitoring Software
Planning Software
Environmental
Perception Hardware Components
Access & Control Hardware Components
Autonomy Take decisions based on
analytics and artificial intelligence
Evolution to Autonomy Available now
The Autonomous Concept Vehicle
15
https://www.youtube.com/watch?v=ALmqer120qM