Elixir - Tech Track - Plant Phenotyping 17-3-2015 Plant Phenotyping and interpretation of 3D data ELIXIR Innovation and SME Forum: Data-driven innovation in the agri-food industries Rick van de Zedde March 18th and 19th, 2015 Introduction Rick van de Zedde, senior researcher/ business developer Computer Vision for 11 years at Wageningen University & Research centre in The Netherlands. Background: Artificial Intelligence, University of Groningen. Focus: computer vision/ robotics Contact: [email protected] 1 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Wageningen University & Research Centre A university plus R&D organisations, mission statement; “To explore nature and to improve the quality of life”. Wageningen UR: ● 6.500 employees ● 8.000 students ● 1.900 PhD’s ● 106 countries Wageningen UR - campus Wageningen UR - Phenomics - Chlorophyll fluorescence – Elisa Gorbe Sanchez XY-table for phenotyping in a climate chamber - NIR/ VIS hyperspectral – Franck Golbach, Gerrit Polder Roots in 3D (X-ray CT) – Marcel Meinders, Erik Esveld PhenoBot - Gerrit Polder, Marco Bink, Fred v. Eeuwijk MARVIN/ EPPN/ EU-COST action – Rick van de Zedde Field phenotyping – Erik Pekkeriet, Pieter Blok www.phenomics.nl 2 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Overview Introduction Wageningen UR – Phenomics EPPN – WP3 ‘Novel sensors’ ● 3D reconstruction of seedlings ● Young plants Vision-guided robotics Summing up/ future work Plant phenotyping and food production Challenge: produce food for 9 billion in 2050 Focus on improvement of crops (maize, rice, potatoes, tomatoes, etc). Novel genotyping technologies ‘deliver’ new varieties much quicker; ● Faster and less expensive DNA sequencers ● More efficient breeding cycles (GM and ‘classical’) Plants still need to be grown to determine yield, resistance against heat/drought stress, diseases , etc. (= phenotyping). So an increase of capacity/ objectivity is required: Opportunity for automated inspection, robotics, big data. Contact: [email protected] 3 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Grant Agreement No. 284443. European Plant Phenotyping Network (EPPN) – 5.5 M€ Goals: 1. Create a European integrated network/ community 2. Offer trans national access to EPPN facilities 3. Research – a. Novel sensors, b. Good practice phenotyping c. IT for high throughput Website: www.plant-phenotyping-network.eu Wageningen UR is WP leader of WP3 Novel sensors Overview Introduction Wageningen UR – Phenomics EPPN – WP3 ‘Novel sensors’ ● 3D reconstruction of seedlings ● Young plants Vision-guided robotics Summing up/ future work 4 Elixir - Tech Track - Plant Phenotyping 17-3-2015 MARVIN – 3D based seedling sorting Rick van de Zedde (PL), Nicole Koenderink, Gerwoud Otten, Franck Golbach, Mari Wigham, ea. Specs, Scale and speed Current capacity: 19.500 seedlings/ hour is 185 ms/ seedling Software runs on a fast Windows 7 desktop computer; National Instruments Labview/ core engine using CINs (C/C++). Database: SQL server/ .Net web-interface Raw data collection issue - ±5 seedlings per second = 10 GigE industrial machine vision camera’s, hardware triggered. 3D reconstruction technique: shape-from-silhouette/ volumetric intersection which requires a very accurate 3D camera calibration. 10 camera’s x 5 per second x 1.2MB per image = 60 MB / second 216 Gb / hour .... saving 3D models only = 0.5 Gb / hour 5 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Illustration of volumetric intersection Figure 3: Six of 24 images of the used watering can. 6 camera views from a watering can Contact: [email protected] Principle of volumetric intersection S U B M I C O N F I D E (b) (a) 1 camera More camera’s results in more detail T T E D Contact: [email protected] N T 6 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Volumetric intersection: cube with voxels Contact: [email protected] 7 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Plant/ seedling phenotyping Examples of strange phenomena: 8 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Individual tray info 3D measurements and reference method Features: Stem length Leaf length/ width # leaves Leaf type (cotyledon/ true leaf) 9 Elixir - Tech Track - Plant Phenotyping 17-3-2015 3D models and colour projection Overview Introduction Wageningen UR – Phenomics EPPN – WP3 ‘Novel sensors’ ● 3D reconstruction of seedlings ● Young plants Vision-guided robotics Summing up/ future work 10 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Height: 4m 11 Elixir - Tech Track - Plant Phenotyping 17-3-2015 12 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Plant architecture: - Biomass estimation - Length main stem - # side stems - Leaf angle/ length - Leaf shape - Internode length(s) - Individual leaf areas Overview Introduction Wageningen UR – Phenomics EPPN – WP3 ‘Novel sensors’ ● 3D reconstruction of seedlings ● Young plants Vision-guided robotics Summing up/ future work 13 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Vision-guided robotics - planting rose cuttings Goal: propagating roses from cuttings Contact: [email protected] Robot info - Cutting point & approach point Specs: - Calculations within 500ms - Correct cutting point in > 95% in large test set Contact: [email protected] 14 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Cut rose planting robot example Contact: [email protected] Robotic pot rose cutting planter Rick van de Zedde (PL), Gerwoud Otten, Franck Golbach, Sanja Damjanovic, ea. 15 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Overview Introduction Wageningen UR – Phenomics EPPN – WP3 ‘Novel sensors’ ● 3D reconstruction of seedlings ● Young plants Vision-guided robotics Summing up/ future work Summing up: accuracy and high throughput Tough specs: accurate 3D models within max. 500ms Focus on high-throughput phenotyping - so no turntable. Multi-camera advantages: - Single shot (one trigger = 10 camera images) - Individual plants imaged on a fast moving conveyer belt Contact: [email protected] 16 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Future work Validation of the measured 3D traits using reference measurements Using 3D for subtle colour differences on irregular surfaces. Quantification of plant architecture of larger plants Comparison of 3D methods of several partners within EPPN We are interested in setting up a research collaboration Contact: [email protected] Acknowledgements My colleagues at Wageningen UR: EU project: ● Gerwoud Otten ● Franck Golbach ● Gerrit Polder ● Nicole Koenderink ● Sanja Damjanovic Plus industrial partners: ● Mari Wigham Enza (M. Klooster): ● Gert Kootstra IsoGroup (P. Oomen): All colleagues within EPPN WPK (E. vd Arend): Contact: [email protected] 17 Elixir - Tech Track - Plant Phenotyping 17-3-2015 Questions ? Thank you for your attention! Questions? Contact: [email protected] Next slide = EU COST 18
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