Dr. Joachim Stiegemann (Head of Product Management CSE)

Edward Miller (CLAAS UK)

IAgrE Landwards Conference 2019

The contribution of data harvest on the development of the new

LEXION generation – the impact of the digital transformation

The CLAAS nucleus is machine construction

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Engineering works without ioT – a consistent digital data approach – so far

AutoCAD / Inventor, Hypermesh, Unigraphics, I-Deas, SolidWorks, Ansys, CATIA V5 and V6

Fluent, Pro/Engineer, Xsteel, RAM, CADS, SFRAME, RSA, ORION, GTS Strudl, AutoCAD

STAAD, ETABS, AutoCAD, ArchiCAD, Rivet,

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Game Changer: GPS – from “PoKéMoN GO” to Precision Farming and Engineering

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GPS: Connects location and time with any kind of action, activity or procedure

GPS

Position Navigation

General

Management

Machine

Operation

Vehicle

GuidanceFleet

Management

Documentation Operation Single Vehicle Vehicle Group

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Competitive markets – boost the ambitions for shortening the time to market

This fuels the application of sophisticated virtual product models

…frequently referred to as “digital twin”

Enabled by:

Digitalization of manufacturing

Cyber-physical production systems

Model-based system engineering

Data gathering and processing

Models with production and operation data.

Value for:

Product and process development

Operating and servicing decisions on the product behavior

Optimization and maintenance

Product design – simulation and monitoring

Reduce the need for costly and time-expensive physical mock-ups

7

• Crop rotation

• Seed plan

• Fertilizer plan

• Crop protection

• Turn over

• Profit

• Regulations

• Controlling

etc.

Manufacture

Models

Specification

Volume

Turn over

Profit

Regulations

Shipping

Controlling

etc.

Agriculture Processes Data

Data

Customer

Industrial Processes

Data Sources from Processes

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Steering Systems

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9

Process Automation

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Machine Data

IAgE Landwards Conference 2019 JoS/EM

How to optimise my

whole operation?

Is my equipment

working at full

capacity?

Do I need to use

fungicides now?

How to schedule

my work?

Do I have to

apply fertiliser

now?

Can I identify the

reasons for different

yields per acre?

Will service

intervals be

followed?

Are we using the

right spaces and

tramlines?

Where is my

equipment?

How much time

do I have?

The busy farmer

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What next?

Are customers prepared to share data?

Where should it go?

How should it be used?

Who will process the data?

They have to be able to make that decision

It is their data after all

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Digital technology at an entry level is unconsciously already incorporated

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What are the Next Steps: Getting Bigger

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Operation characteristics of LEXION combines

N = 1183 combines

Engine hours Average Ground Speed Average Engine

Load - Threshing

Unloading „ON“ per

operation hourAverage Yield t/ha

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Grain tank unloading operations over engine hours (UK LEXION)

Unloading „ON“ per hourEngine hoursUnloading „ON“

N = 180 combines

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Grain tank unloading operations – virtual reality

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… Step by step we are leaving the analog/linear data setup

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Digital Agenda

Create a Digital Basis Digital Growth

Digital

Development

Farming

4.0

Establish a

company

management

program - based

on a broad digital

data base as the

decision

foundationDevelo

p a

nd e

xte

nd

dig

ital com

pete

nce

Use o

f sele

cte

d t

ools

and p

rogra

ms

.

Exchange d

ata

,

use d

igital in

telli

gence

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Keep and improve bottom line result

Secure sustainability

Progress and penetration of digital agriculture on farms and industry depends on results

Provides compliance with regulations

Guarantees data integrity

Does not create problems

…appreciate your attention!

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