Dro nes in agric ulture : Pheno typing use -c ase Dries Raymaekers , - - PowerPoint PPT Presentation

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Oct 03, 2023 31 likes •226 views

Dro nes in agric ulture : Pheno typing use -c ase Dries Raymaekers , Pieter-Jan Baeck, Bram Janssens, Wouter Dierckx, S tephen Kempenaers, Jens Verreyt, Dieter Meeus, Dominique De Munck, S tephanie Delalieux & Ilse Decoster Agr ic ultur

SLIDE 1

Dro nes in agric ulture : Pheno typing use -c ase

Dries Raymaekers, Pieter-Jan Baeck, Bram Janssens, Wouter Dierckx, S tephen Kempenaers, Jens Verreyt, Dieter Meeus, Dominique De Munck, S tephanie Delalieux & Ilse Decoster

SLIDE 2

remo tesensing.vito .be

Agr ic ultur al r e se ar c h fr

m the sky

Global/ Regional trends Precision agriculture Phenotyping Global/ Regional trends Precision agriculture Phenotyping

SLIDE 3

remo tesensing.vito .be

Phe notyping : fr

m lab/ gr

e e nhouse to the fie ld

Lab Greenhouse Field # Breeding lines Cost / Trait Agricultural relevance

SLIDE 4

remo tesensing.vito .be

Phe notyping on fie ld le ve l: available te c hnique s

Expert Fixed stations Drone

THE reference
Time consuming
Expert knowledge
S

ubj ective measurements

High detail
Large investments
Limited area
Legislation?
Data handling?
Image analytics?

www.fieldphenomics.org Lemnatec

Do It Y

urself
High detail
Prototyping
Limited area

SLIDE 5

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EXAMPLES OF DRONE BAS ED PHENOTYPING

Flowering - Rapeseed Germination – S ugar beet Height – Wheat

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EXAMPLES OF DRONE BAS ED PHENOTYPING – HEIGHT MEAS UREMENTS

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EXAMPLES OF DRONE BAS ED PHENOTYPING – HEIGHT MEAS UREMENTS

#samples R2 Bias [cm] S EP2 [cm] Rapeseed 619 0,55 38 11 Wheat 6429 0,52 14 4 Barley 3038 0,60 18 4 Maize 1844 0,52 3 22

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remo tesensing.vito .be

What is ne e de d to go one ste p fur the r ?

1. Consistent data over growing season, years and locations
2. Automation to reduce cost
3. Ease of use because we are all busy

Demo setup Operational setup Build Infrastructure

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remo tesensing.vito .be

MAPE O: dr

ne base d phe notyping infr

astr uc tur e

S tandardization of image acquisition Centralization/ automation of data processing Platform for data visualization and data sharing

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remo tesensing.vito .be

Standar disation of image ac quisition

Network of drone operators

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remo tesensing.vito .be

Standar disation of image ac quisition

Check data quality in the field

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remo tesensing.vito .be

Ce ntr alization/ automation of data pr

c e ssing

Image processing workflows S ystem architecture Operator tools

SLIDE 13

remo tesensing.vito .be

Image pr

duc ts

Orthomosaic Digital Surface Model Crop Cover Crop Height Crop Count NDRE NDVI PSRI* OSAVI Thermal Index

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Platfor m for data visualization and shar ing

MAPEO webt ool: Visualise over t he growing season Creat e or upload field layout

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remo tesensing.vito .be

Platfor m for data visualization and shar ing

MAPEO webt ool: Visualise over t he growing season Creat e or upload field layout Analyse per plot Ext ract st at ist ics

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remo tesensing.vito .be

Platfor m for data visualization and shar ing

MAPEO webt ool: Visualise over t he growing season Creat e or upload field layout Analyse per plot Ext ract st at ist ics Annot at e and share

SLIDE 17

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DE MONST R AT ION – PC Zwaagdijk

Order and manage droneflights Visualize, analyse and Export plant trait information

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Conc lusion: towar ds ope r ational dr

ne base d phe notyping

Algorithms Easy to use platform Automated processes S tandardization

EXPERIMENTAL DES IGN

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THANK YOU

Contact: dries.raymaekers@

vito.be

More information: https:/ / remotesensing.vito.be/ case/ mapeo