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

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


  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

  2. Agr ic ultur al r e se ar c h fr om the sky Global/ Regional trends Precision agriculture Global/ Regional trends Precision agriculture Phenotyping Phenotyping remo tesensing.vito .be

  3. Phe notyping : fr om lab/ gr e e nhouse to the fie ld Lab Greenhouse Field # Breeding lines Cost / Trait Agricultural relevance remo tesensing.vito .be

  4. Phe notyping on fie ld le ve l: available te c hnique s Expert Fixed stations Drone Do It Y ourself • THE reference • • • High detail Legislation? High detail • Time consuming • • • Data handling? Prototyping Large investments • Expert knowledge • • • Limited area Image analytics? Limited area • S ubj ective measurements Lemnatec www.fieldphenomics.org remo tesensing.vito .be

  5. EXAMPLES OF DRONE BAS ED PHENOTYPING Flowering - Rapeseed Germination – S ugar beet Height – Wheat re mo te se nsing.vito .be

  6. EXAMPLES OF DRONE BAS ED PHENOTYPING – HEIGHT MEAS UREMENTS re mo te se nsing.vito .be

  7. 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 re mo te se nsing.vito .be

  8. 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 remo tesensing.vito .be

  9. MAPE O: dr one 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 remo tesensing.vito .be

  10. Standar disation of image ac quisition Network of drone operators remo tesensing.vito .be

  11. Standar disation of image ac quisition Check data quality in the field remo tesensing.vito .be

  12. Ce ntr alization/ automation of data pr oc e ssing Image processing workflows S ystem architecture Operator tools remo tesensing.vito .be

  13. NDRE NDVI Image pr oduc ts Crop Cover Orthomosaic PSRI* OSAVI Crop Height Digital Surface Model Thermal Index Crop Count remo tesensing.vito .be

  14. Platfor m for data visualization and shar ing MAPEO webt ool: Visualise over t he growing season Creat e or upload field layout remo tesensing.vito .be

  15. 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 remo tesensing.vito .be

  16. 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 remo tesensing.vito .be

  17. DE MONST R AT ION – PC Zwaagdijk Visualize, analyse and Export plant trait information Order and manage droneflights remo tesensing.vito .be

  18. Conc lusion: towar ds ope r ational dr one base d phe notyping Algorithms Easy to use platform Automated processes S tandardization EXPERIMENTAL DES IGN remo tesensing.vito .be

  19. THANK YOU • Contact: dries.raymaekers@ vito.be • More information: https:/ / remotesensing.vito.be/ case/ mapeo re mo te se nsing.vito .be

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