HORTICOOP KENNIS EVENT SNIJBLOEMEN

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1 HORTICOOP KENNIS EVENT SNIJBLOEMEN 23 September 2015 Angelo Mencarelli

2 What s happening Need for robotics?!

3 Horticulture endorse robotics Huge robotic market (low cost) More frequent & automated monitoring Save, hygienic traceable 24/7 Saves Repetative tasks year round Objective quality assesment Adds value Closing Greenhouses Lean production

4 Demand for robotics in Agro & Food seeding planting growing harvesting food processing packaging Robotic demand: Seeding Seed sorting Robotic demand: cutting planting grafting Robotic demand: monitoring pruning spraying Robotic demand: harvest buffering Robotic demand: Separation & composing ready meals, pizzas, Robotic demand: Pick, place & palletizing weed control mixed fruits watering

5 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

6 Rick van de Zedde

7 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

8 ROBOTICS

9 More than twenty years experience

10 Harvesting robot cut-roses (2003)

11 Harvesting robot cut-roses (2003)

12 TrimBot2020 ( )

13 TrimBot2020 ( )

14 TrimBot2020 ( )

15 TrimBot2020 ( ) 15

16 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

17 PHENOTYPING

18 3D Volumetric Intersection Van de Zedde

19 3D Volumetric Intersection

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23 PhenoBot: Phenotyping in Greenhouses Using 3D Light-Field Technology One camera, one lens, one shot for 3D and 2D data (Raytrix) Data capture will not interfere with the plants natural behaviour. (no laser scanning or IR pattern projection)

24 3D Light Field Camera Technology* Micro-lens array (MLA) optics perspective shift 3D view 3D depth map US-Pat.-No.: 2012/ A1, CHIP-Award 2012: Innovation of the year Copyright 2013 by Raytrix GmbH, Germany. All rights reserved. Design, features, and specifications are subject to change without notice.

25 Automatic plant counting (plant size, height, position,..)

26 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

27 QUALITY ASSESSMENT

28 Phenotyping Geometric features Height (V/G), Volume Flower counting Color RHS calibration Number and thickness of shoots Leaf angle Plantalyser Hemming / Otten

29 Challenge for the future Automated grow modeling and defining growing recipes with volumetric intersection Resources - Climate - Nutrients Growth - Volumetric Intersection De Visser Automatische Modellering Grow preformance Grow limits

30 Chlorophyll fluorescence imaging Chlorophyll in the plant is fluorescent when illuminated by red coloured light. Light is being emitted by at a darker red colour. Using optical filters this fluorescence signal can be measured. The efficiency of photosynthesis can be calculated from these fluorescence signals.

31 Quality assessment with fluorescence

32 Quality assessment with fluorescence

33 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

34 DISEASE DETECTION

35 Detection of tulip breaking virus in the open field

36 Top MS - IR MS - Color

37 Hyperspectral imaging

38 Disease classification

39 Top Crop Viewer Gezonde Kas

40 Results: CF test with Cyclamen plants Healthy Infected Diseased Heavily diseased

41 Results: CF test with Cyclamen plants Healthy Infected Diseased Heavily diseased

42 Side Crop Viewer Gezonde Kas

43 Robotics Phenotyping Quality assessment Disease detection System integration Green houses Industry Open field

44 Robotics Selective cut or pruning robots Dedicated end effectors Man in the loop

45 Phenotyping Resources - Climate - Nutrients Growth - Volumetric Intersection Automatische Modellering 3D reconstruction/imaging of plant. Growing models. Grow preformance Grow limits

46 Quality assessment Research using new sensors (fluorescence) Improve the imperfection detection using combination of sensors Use of the deformable registration

47 Disease detection Fluorescence imaging disease and pest detection in green houses and open field. Multispectral cameras in green houses and open fields.

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49 Thank you for your attention