GROW!René Elfrink, project coördinator GROW!

Programma

Programma:

10.00 uur Ontvangst

10.15 uur Opening en toelichting op project GROW!

10.30 uur Toelichting op de ontwikkelde sensoren

11.00 uur In gesprek met elkaar over huidige ontwikkeling per sensor en wensen voor

toekomst

12.15 uur Terugkoppeling op de wensen

13.00 uur Afsluiting met aansluitend de gelegenheid de proef in de HAS Kas te

bezoeken en te lunchen.

Goal

“to monitor, optimize and enhance the yield and quality of horticulture

products by developing and deploying smart wireless sensor- and

datanetworks (Internet of Things, IoT”

Innovative sensor systems and big-datanetworks will be developed within the GROW!-

project and plant growth models will be optimized.

Implementation of both

• Currently available cost-effective sensors

• Newly developed sensors

To monitor other processes (nutrient monitoring).

The sensor- and datanetworks will be tested and valorized in fieldlabs together with SME

horticulture companies.

Partners

1. Nederlandse organisatie voor Toegepast Natuurwetenschappelijk Onderzoek TNO

2. Universiteit Antwerpen

3. LTO Glaskracht,

4. Katholieke Universiteit Leuven,

5. Stichting IMEC Nederland

6. HAS Hogeschool

7. Proefcentrum Hoogstraten

8. Vlaams Centrum voor Bewaring van Tuinbouwproducten

Samenhang

Technology R&D integration Test & growdiseases/plagues,

growth models

Quality / validationLink to agriculture

Beta system deployment at PCH : 10 sensor

boxes with Temperature and Humidity

7

Results :

input for KU-leuven → initial plant grow models

Input for WP3 → sensor selection and greenhouse

environment

15.0

17.0

19.0

21.0

23.0

25.0

26-Feb 5-Mar 12-Mar 19-Mar 26-Mar 2-Apr

tem

pera

tuur

(°C

)

Sensoren UA

box1box2box3box4box5box6box7

Sensors Temperature

RH

Light: 3 sensors present op 1 plot

Nutrients (in development):

─ EC

─ Nitrate

─ K, N, Ca, Mg

─ pH

CO2

Three types of sensors being tested (38 in total)

Sensoren UASensirionsSensoren KUL

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25

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40

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9u

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tem

per

atu

ur(

°C)

Sensirion

Temp PRIVA afd 15

temp Sensirion 9

temp Sensirion 11

temp Sensirion 12

temp Sensirion 13

Temp Sensirion 14

Plantmodel

Measured properties of plant growth and development:

─ Stem thickness

─ Length

─ Bunch settlement

─ Yield (weight, dry mass)

─ Fruit Growth

─ Ripeness

─ Fruit quality (color)

Measured at 42 plots

Pathogenmodel

Pathogens measured:

─ White fly

─ Macrolophus (with and without enthomophthora)

─ Nesidiocoris

─ Powdery mildey

Counts with sticky plates and in the plants

Total 100 plots

SHORT SUMMARY 20182018

▪ Snelle start met enkele 10-tallen T en RH sensoren in PCH tomaten teelt▪ Gecombineerd met

▪ plantmetingen (Stengeldikte, Lengte, Troszetting, LAI, Opbrengst,Groei van de vruchten, Rijping van de vruchten,Vruchtkwaliteit)

▪ Pathogeen metingen▪ Model opgesteld▪ Technology ontwikkelingen :

▪ Sensor platform : Octa2.0▪ Printed sensors▪ EC, pH and Ion sensors▪ CO2 sensors

▪ Kontakten opgebouwd▪ Telers▪ Kassenbouwers▪ Klimaat besturings systeem bouwers

KOMENDE MAANDEN (PRACTICAL)2018-Q4

▪ Ion sensing : Laboratoriumtesten in voedingsmedium voor stabiliteit enkruisgevoeligheden

▪ Eerste laboratoriumproeven voor tweede ion▪ Prepare 100 Octa nodes for the deployment + Deployment and field testing at PCH

and HAS▪ Voorbereidingen nieuwe teelt PCH and HAS Q1-2019 (inzaaien oktober, planten in

December)

2019▪ Plant model validatie (model opgesteld 2018, toegepast op teelt 2019)

▪ Samenwerkingen met enkele telers starten

▪ Demo dag + kennis sessie (14 februari)

2019-Q2▪ integration with printed strip sensors + test in kas▪ Eerste proeven ion sensoropstelling in kas + Tweede ionconcentratie testen in lab

2019-Q3▪ Tweede ionconcentratie testen in kas

GROW!

Marcel Zevenbergen, imec-nl, Program Manager gas & liquid sensor solution

Marieke Burghoorn, TNO, GROW! werkpakket lead WP3

Toelichting ontwikkelde sensoren

Imec sensor network technologies:

2nd KFAS-imec Symposium, April 17-18, 2018

“Big data is like crude oil”

Andreas Weigend

former Chief Data Scientist at Amazon

in an interview with Business Week

Costeffective

air & liquid sensors

Sensor network

&

Calibration

Cloud Storage

&

Monitoring

Visualization

&

Analytics

Easy access

& applications

IOT CONNECTED SENSOR NETWORKS

Nutrient analysis by cost-effective liquid sensors

15

pH: 2-10 pH range, 0.1 accuracy

ORP

Ion-selective electrodes 10-4 M – 1 M range, 10% accuracy

Microfluidic

Reference electrode

World’s first long-term stable multi-sensor chip

pH, Cl-, Na+, K+, Ca2+, NO3-, DO, extension to other ions possible → Mg2+, NH4

+

Integrated with temperature and conductivity: 5 – 100000 µS/cm

QUALITY DATA ENABLED BY LARGE-SCALE LIQUID SENSOR NETWORKS

First field tests in greenhouse

17

Various samples obtained from irrigation lines which were

subsequently analyzed for pH, EC, and potassium level

Preliminary results

22-23-1 22-23-32 26-27-1 26-27-32 28-29-1 28-29-32 Drain Voeding

0

1

2

3

4

5

6

7

pH

pH1

pH2

pH3

Com

Difference pH < 0.1, EC < 0.1 mS/cm compared to state of the art sensors

Reproducible results for different samples from the irrigation lines, as expected

Drain EC and potassium significant higher

Next challenge: integrate these sensors in an IoT network for continuous and real-time data!

CONFIDENTIAL

FIRST DATA FROM THE BLANKAARTUSING IMEC’S CONDUNCTIVITY SENSOR

(a) (b)

imec analytics and imec low cost sensor

brings equal accuracy as 10’sk$

professional equipment

500 µm

CONFIDENTIAL

SUBSTRAAT METINGEN

20

Druppelaar

Sensor 1

(achter

druppelaar)

Sensor 5

Sensor 4 Sensor 2

Sensor 3

Sample 1 : 5x 20 mL Voeding

Sample 2 : 15 min na meting1

Sample 3 : 30 min na meting1

Sample 4 : 5x 20 mL Voeding (3h 30 min na meting 1)

Sample 5 : 5x 20 mL Voeding (3h 50 min na meting 1)

1 2 3 4 5 Voeding

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

µS

/cm

Sample

Sensor1

Sensor2

Sensor3

Sensor4

Sensor5

▪ Het substraat moet eerst goed verzadigd zijn om iets te meten, sensoren moetenvochtig zijn.

▪ Pas na de 2e voeding (sample 4) is er iets te zien bij sensor 1.

▪ Na de 3e voeding (sample 5) lijkt sensor 1 goed te meten, deze zit direct naast de druppelaar.

▪ Sensoren 2 t/m 5 meten veel ruis, hier is het niet vochtig genoeg.

IMEC CO2 SENSORMINIATURE, LOW COST GAS SENSOR PLATFORM

V~

• Interdigitated electrodes covered by

ionic liquid film

• Impedance change in ionic liquid film

250 ppm CO25001000150020002500

0 200 400 600 800 1000 1200 1400

122

123

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125

126

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130

131

132

133

|Z| (

kOhm

) @

1H

z

t (s)

moving average

plane fit and

vertical shift

Controlled environment

Training Testing

Real Life deployment in imec offices

Simple Multi-Variate

Model

Printed temperature sensoren (TNO)

Nearly no dependence on relative

humidity till 65%

Measurement in climate chamger at

95% RH conducted

Sensirion SHT31 as benchmark

Material optimization in progress

Printed sensor strips

Foil strip dimension 50 x 4 cm

Printted temperature sensors

Sensirion sensors as benchmark and for RH

Lightsensor will we added

Easily connectable: tailored length

Connected to readout unit that transfers data wirelessly

Sensor strips today

Interconnected PCB connected to Octa-platform

Thank you!

contact

René Elfrink

R&D manager – Sensors4IoT

Project coordinator GROW!

T +31 40 4020440

M +31 6 52598548

rene.elfrink@imec.nl

https://www.grensregio.eu/projecten/grow