HORTICOOP KENNIS EVENT GROENTEN

Transcription

1 HORTICOOP KENNIS EVENT GROENTEN 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 Cucumber harvesting robot ( ) Goal Reduce labour costs through automatic harvesting Situation in the greenhouse Fruits and Leaves are both green. Fruits do not ripe at the same time Result Fruit detection: 94% Harvesting: 74%

11 CROPS: Harvesting sweet-pepper ( ) Jan Bontsema, Jochen Hemming (Wageningen UR)

12 Follow-up Development of improved modules Extensive testing at endusers Crop optimization Market deployment

13 Flexible robotic systems for automated adaptive packaging of fresh and processed food products

14 Flexible robotic systems for automated adaptive packaging of fresh and processed food products

15 Flexible robotic systems for automated adaptive packaging of fresh and processed food products

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17 Computer-vision based intra-row weed control: the Steketee IC cultivator 4 colour cameras

18 Computer-vision based intra-row weed control: the Steketee IC cultivator

19 Selective harvesting of broccoli Computer Vision system selects only the broccoli of a pre-determined size and leaves the remainder until another optimal harvesting moment is reached

20 Broccoli oogst unit

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

22 PHENOTYPING

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 ImageJ Plugin for Plant Phenotyping Plant variety testing (NAK Tuinbouw) * Measure many plant characteristics according to UPOV ** guidelines. Lots of interest from breeders. * Nederlandse Algemene Kwaliteitsdienst Tuinbouw ** International Union for the Protection of New Varieties of Plants

26 ImageJ Plugin for Plant Phenotyping

27 Automatic plant counting sugar beets (plant size, height, position,..)

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

29 QUALITY ASSESSMENT

30 Quality inspection tomatos on the vine RGB and SWIR line scan cameras Unripe (green) fruit Yellow calyx Mold on calyx Mildew Cracks Gert Kootstra (FBR)

31 Example of a hyperspectral stack VIS Gert Kootstra (FBR)

32 Crack detection using edge detection Gert Kootstra (FBR)

33 Quantify yellow calyx visible in RGB images Gert Kootstra (FBR)

34 Segmentation of stalk and tomato Some results (stalk, red and green tomatoes) Gert Kootstra (FBR)

35 Mycosphaerella detection

36 High-resolution computed tomography Infection not detected

37 Detection with NIR-transmission Fast and nondestructive analysis of biological materials Optical fiber Light source

38 Combination form recognition & NIR-transmission Gezond Geïnfecteerd

39 Storage

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

41 DISEASE DETECTION

42 Side Crop Viewer Gezonde Kas

43 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.

44 Measurements on tomato stem Recorded images of tomato stem inoculated with Botrytis Fluorescence Photosynthesis Fluorescence Photosynthesis Botrytis Severe Botrytis

45 Side Crop Viewer Gezonde Kas

46 Side Crop Viewer Gezonde Kas

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

49 Robotics Cucumber harvesting robot. Defoliation robot Man in the loop

50 Phenotyping 3D reconstruction/imaging of plant. Growing models. Automatic classification.

51 Quality assessment Extend quality assessment to other fruits Improve the imperfection detection using combination of sensors. Research using new sensors (thermal imaging).

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

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54 Thank you for your attention