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Peter Reinig

Fraunhofer IPMS, Dresden/ Germany

Brussels, 01.12.2015

© Fraunhofer IPMS

Smart Systems & IOT for sustainable

farm management

TPorganics – Organic Innovation Days

Session II – Beyond the organic priorities

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 2

Agenda

Short Introduction of EPoSS

Smart Systems and Internet of Things (IOT)

Smart Systems developments at Fraunhofer IPMS

Chances for and

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 3

What is ?

EPoSS is the European

Technology Platform on

Smart Systems Integration.

Since 2013 it has the legal

status of an association

according to German law.

EPoSS, together with

AENEAS and ARTEMIS-IA,

is a private partner in the

Electronic Components and

Systems for European

Leadership Joint Technology

Initiative (ECSEL JTI)

EPoSS cooperates with many

other ETPs and industry

initiatives, e.g. ETPN,

ERTRAC, TPOrganics, EPSI,

euRobotics

– Horizon 2020 Policy level

Priority level

Work Programme levelICT, NMP, GV …in LEIT and SC pillars

Call text level

– ECSEL JTI Policy level

MASRIA

– Structural / operational issuese.g. PPPs

– Other programmese.g. ERA Nets, EUREKA

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© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 4

What are Smart Systems ?

Intraocular pressure

measurement device

Driver Assistance

Systems

Hearing Aid

Object

Recognition

Device

Positioning System

for Robots

are able to describe a situation and diagnose it

are predictive, able to decide or help to decide

mutually address and identify each other

enable the product to interact with the environment

They are as small as possible, networked & energy autonomous

Examples of Existing Smart Systems

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Peter Reinig I 01 December 2015 I slide 5

Smart Systems Generations

System functionalities determine

advancements in “smartness”

1st Generation Smart Systems

integrate sensing and/or actuation as well as

signal processing to enable actions

2nd Generation Smart Systems

are built on multifunctional perception

and are predictive and adaptive

3rd Generation Smart Systems

perform human-like perception and action

and generate energy

Continuous

Glucose

Monitoring

(Medtronic)

Gyro Mouse

(Gyration)

Fully

Automated

Driving

(Google)

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Peter Reinig I 01 December 2015 I slide 6

EPoSS Working Groups

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Peter Reinig I 01 December 2015 I slide 7

H2020 Calls: Internet of Things 2016-2017

Cross-cutting focus area(Contributions from SC1 and SC2)

Increased support with the ambition

to foster the take-up of IoT in Europe and

to enable the emergence of IoT ecosystems

supported by open technologies and platforms

Organised in three topics:

1. IoT‐01‐2016: Large Scale Pilots (IA) (100 M€, funding rate: 70%)

Pilot 1: Smart living environments for ageing well (EU contr. up to 20 MEUR)

Pilot 2: Smart Farming and Food Security (EU contr. up to 30 MEUR)

Pilot 3: Wearables for smart ecosystems (EU contr. up to 15 MEUR)

Pilot 4: Reference zones in EU cities (EU contr. up to 15 MEUR)

Pilot 5: Autonomous vehicles in a connected environment

(EU contr. up to 20 MEUR)

2. IoT‐02‐2016: IoT Horizontal activities (CSA) (4 M€)

3. IoT‐03‐2017: R&I on IoT integration and platforms (RIA) (35 M€)

139 M€

Source: European Commission

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Peter Reinig I 01 December 2015 I slide 8

Pilot 2: Smart Farming and Food Security

Precision agriculture based on IoT technologies

IoT scenario for monitoring, control and treatment of plant and animal

products from farm to fork

Emphasis on sophisticated sensor networks (wired or wireless) and

link to farming management

Allow interaction between objects, efficient exchange of information,

execute autonomously appropriate interventions in different agricultural

subsectors and their associated post-production value chain

Challenge: design architectures allowing optimal behaviour of all objects,

lowering ecological footprint and costs, and increase food security

Proposals should contain scenarios applicable to farms of different sizes

and different types across Europe and cover at least three sub-sectors

(e.g. arable crops, livestock, vegetable and fruit production) and their

associated post-production value chain through to the consumer

Multi-actor approach, adequate involvement of farming sector

At least one pilot will be financed – Budget up to 30 M€ Source: EPoSS

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Peter Reinig I 01 December 2015 I slide 9

Smart Systems Research at Fraunhofer IPMS

Fraunhofer IPMS in Dresden

280 scientist and engineers

33 Mio. € annual R&D volume

1300 m² MEMS clean room on continuous shift

www.ipms.fraunhofer.de

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 10

2 km

DRESDE

N

Sources: Google / Bing / infineon

Fraunhofer IPMS Locations

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Peter Reinig I 01 December 2015 I slide 11

OUR BUSINESS MODELL:

From R&D to Pilot-Fabrication

Consulting service

Feasibility tests

Simulation

Device and system development

Complete process development

Prototypes and demonstrators

Characterization & Test

Pilot-Fabrication

Foundry Services

Micro-(Opto)-Electro-Mechanical Systems MEMS (MOEMS)

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Peter Reinig I 01 December 2015 I slide 12

MEMS CLEAN ROOM

1500 m2, class 10

6” Wafer line

3 shift preparation for R&D

and pilot fabrication

Access to external services

Technological parameter

supervising system

PPS based planning and

documentation

ISO 9001 certification

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Peter Reinig I 01 December 2015 I slide 13

Technological background

MEMS technology for scanner mirrors

1D and 2D rotational/

translational

Frequencies: 125 Hz

…35 kHz

Diameter: 0.35 mm

… 4.0 mm

Deflection angle:

up to +/-34°

Optical scan range: 136°

Flatness: better than λ/10

More details: http://youtu.be/g0efn3ToqWs

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 14

Technological background

MEMS scanning grating technology

Examples of MEMS grating structures

• Anisotropic silicon etch

• Easy to control, slow Under-etch

• Generates smooth surfaces

• Efficiencies up to 85% possible

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Peter Reinig I 01 December 2015 I slide 15

Technological background

MEMS scanning grating spectrometer SGS 1900

Fibre coupled NIR spectrometer

1000 to 1900 nm, InGaAs

10 nm resolution

105x80x86 mm³, mini-USB

www.hiperscan.com

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 16

UV

What is spectroscopy ?

VIS (N)IR (M)IR

Gases, liquids, solids have their unique spectral

signatures

Example: water

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Peter Reinig I 01 December 2015 I slide 17

NIR-spectroscopy

Interaction of light from a background source with matter

Reflection from surface of non-transparent material

Transmission of semi transparent material

NIR (780 nm – 2500 nm) has broad band structure

High penetration depth up to millimeters, depth information

Chemometric model and data base required for evaluation

Multi versatile tool requires online data interface

System needs light source, optical coupling, monochromator, detector,

electronics, computation device, data interface, HMI

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Peter Reinig I 01 December 2015 I slide 18

NIR-spectroscopy

Applications:

Food analysis

Plastic material recognition

Medical, e.g. blood analysis: glucose, alcohol

Biotechnology

Waste treatement

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Peter Reinig I 01 December 2015 I slide 19

NIR-spectroscopy applications: food and beverage

Meat processing Alcohol content of spirits

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Peter Reinig I 01 December 2015 I slide 20

Smart systems for sustainable farm management

plant /

cropsoil / water

harvest

storage

distribution

processing

end consumer

organic waste

Smart monitoring

systems in whole

value chain

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Peter Reinig I 01 December 2015 I slide 21

Smart systems for sustainable farm management

Optical monitoring (NIR-based):

Degree of ripeness and rotting of

fruits and vegetables

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Peter Reinig I 01 December 2015 I slide 22

Binary mixtures of

olive oil and sunflower oil

NIR-spectrometer applications: Olive oil characterization

Smart systems for sustainable farm management

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 23

First derivative and correlation

Binary mixtures of

olive oil and sunflower oil

NIR-spectrometer applications: Olive oil characterization

Smart systems for sustainable farm management

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 24

Binary mixtures of

olive oil and sunflower oil

Simple model gives information

about Olive oil fraction

NIR-spectrometer applications: Olive oil characterization

Smart systems for sustainable farm management

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 25

Hyperspectral Imaging - Detection and sorting

Smart systems for sustainable farm management

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Peter Reinig I 01 December 2015 I slide 26

Hybrid integrated NIR MEMS spectrometer (IPMS)

New developments of Smart Systems for Spectroscopy

Smart spectrometer in sugar cube size

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Peter Reinig I 01 December 2015 I slide 27

Smart Systems for Spectroscopy

Smart phone integration

Hybrid integrated NIR MEMS spectrometer with Smartphone App

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 28

Future Smart Systems

On site food analysis using smart phone spectrometer

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Peter Reinig I 01 December 2015 I slide 29

Smart monitoring of biogas plantswww.ad-wise.org

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 30

Smart monitoring of biogas plantswww.ad-wise.org

Online-Monitoring of volatile fatty acids (VFA) in anaerobic

digesters (biogas plants)

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 31

Smart monitoring of biogas plantswww.ad-wise.org

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 32

Smart monitoring of biogas plantswww.ad-wise.org

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 33

Future approaches

Optimized

mixed manureOnline-

soil sensing

Internet/ data base

Model data, weather,

location, crop sequence,

Soil and groundwater improvement

Smart systems for sustainable farm management

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 34

Summary

Smart systems enable environmental sensing and acting

Smart miniaturized NIR MEMS spectrometer has been realized by IPMS

NIR spectroscopy is a strong tool for analysis of matter, especially organic

material

Food analysis could be very interesting for everybody

Whole value chain of sustainable farm management can benefit from Smart

monitoring systems

System designs have to balance performance, size & cost requirements,

software must display relevant data applicable for non scientific user

IoT‐01‐2016: Large Scale Pilots

#2: Smart Farming and Food Security (EU contr. up to 30 MEUR)

© Fraunhofer IPMS

Peter Reinig I 01 December 2015 I slide 35

You are welcome to cooperate !

Contact:

Dr. Peter Reinig

Group Manager Sensor Systems

Fraunhofer Institute for Photonic Microsystems IPMS

Maria-Reiche-Str.2, D-01109 Dresden

Tel: +49(0)351-8823-103, Fax: -222

www.ipms.fraunhofer.de