An automatic machine vision-guided grasping system for Phalaenopsis tissue culture plantlets

Computers and Electronics in Agriculture

Volumn 70, Issue 1, 2010, Pages 42-51

  Huang, Ying Jen ^a   Lee, Fang Fan ^b  

^a NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Machine vision; Phalaenopsis seedling; Robot

Indexed keywords

3D COORDINATES; AUTOMATIC MACHINES; BINOCULAR STEREOVISION; IMAGE-PROCESSING ALGORITHMS; LOCATING ALGORITHM; MACHINE VISION; PHALAENOPSIS; PHALAENOPSIS SEEDLING; PLANTLETS; ROBOTIC GRIPPERS;

BINOCULAR VISION; BINOCULARS; GRIPPERS; OPTICAL INSTRUMENTS; STEREO VISION; THREE DIMENSIONAL; TISSUE CULTURE;

COMPUTER VISION;

AGRICULTURAL TECHNOLOGY; ALGORITHM; IMAGE PROCESSING; MONOCOTYLEDON; ROBOTICS; ROOT SYSTEM; SEEDLING ESTABLISHMENT; STEM;

PHALAENOPSIS;

EID: 72149129481     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2009.08.011     Document Type: Article

References (36)

1. Bouguet, J.Y., 2006. Camera Calibration Toolbox for Matlab: [on-line] Available: http://www.vision.caltech.edu/bouguetj/calib_doc/.
2. Brown F.R. Robotics and image analysis applied to micropropagation. In: Kurata K., and Kozai T. (Eds). Transplant Production Systems (1992), Kluwer Academic Publishers, Dordrecht 238-296
3. Chien C.F., and Lin T.T. Leaf area measurement of selected vegetable seedlings using elliptical hough transform. Transactions of the ASAE 45 5 (2002) 1669-1677
4. Chien C.F., and Lin T.T. Non-destructive growth measurement of selected vegetable seedlings using orthogonal images. Transactions of the ASAE 48 5 (2005) 953-1961
5. Chiu Y.C., Chang M.Y., Wu G.J., and Chen C.C. Development of an automatic outward-feature properties measurement system for grafted tomato seedlings. Applied Engineering in Agriculture 24 1 (2008) 101-113
6. Cooper P.A., Grant J.E., Kerr L., and English G. Development of prototype automated cutting and placing system for tissue culture multiplication. Combined Proceedings of the International Plant Propagators' Society 42 (1992) 309-313
7. Deleplanque H., Bonnet P., and Postaire J.G. An intelligent robotic system for in vitro plantlet production. Proceedings of the 5th International Conference Robot Vision and Sensory Controls (1985) 305-314
8. In: Gonzalez R.C., and Woods R.E. (Eds). Digital Image Processing (2002), Prentice-Hall, Inc.
9. Guyer D.E., Miles G.E., Gaulttney L.D., and Schreiber M.M. Application of machine vision to shape analysis in leaf and plant identification. Transactions of the ASAE 26 1 (1993) 162-171
10. Hata S., Hiroyasu T., Hayashi J., Takahashi S., and Hojo H. Clone nursery plant trans-planting robot system with 3-D vision system. Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, Luoyang, China (2006) 916-921
11. He D.X., Matsuura Y., Kozai T., and Ting K.C. A binocular stereovision system for transplant growth variables analysis. Applied Engineering in Agriculture 19 5 (2003) 611-617
12. Huang K.Y., and Lin T.T. Development of a sorting system for Phalaenopsis seedlings. Journal of Agricultural Machinery 10 4 (2001) 85-98 (in Chinese)
13. Huang Y.J., and Lee F.F. Classification of Phalaenopsis plantlet parts and identification of suitable grasping point for automatic transplanting using machine vision system. Applied Engineering in Agriculture 24 1 (2008) 89-91
14. In: Jain R., Kasturi R., and Schunck B.G. (Eds). Machine Vision (1995), McGraw-Hill, Inc.
15. Kuo Y.F., Lin T.T., and Wang C.J. Geometric modeling of plant leaves aided with image processing techniques. Journal of Agricultural Machinery 13 2 (2004) 1-17 (in Chinese)
16. Ling, P.P., Ehsani, R., Ting, K.C., Chi, Y.T., Ramalingam, N., Klingman, M.H., Draper, C., 2004. Sensing and end-effector for a robotic tomato harvester, 2004 ASAE Annual Meeting, Paper number 043088.
17. McFarlane N.J.B. Image-guidance for robotic harvesting of micropropagated plants. Computers and Electronics in Agriculture 8 (1993) 43-56
18. Meyer G.E., Neto J.C., and Jones D.D. Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images. Computers and Electronics in Agriculture 42 (2004) 161-180
19. Okamoto T., and Kitani O. Studies on robotics for biotechnological operations (Part 1). On callus handling robot. Journal of Japanese Society of Agricultural Machinery 51 5 (1989) 37-45 (in Japanese)
20. Okamoto T., and Kitani O. Studies on robotics for biotechnological operations (Part 2). Intelligent robot for transplanting calluses in subculture. Journal of Japanese Society of Agricultural Machinery 52 5 (1990) 79-85 (in Japanese)
21. Okamoto T., and Kitani O. Studies on robotics for biotechnological operations (Part1). Fuzzy control of robot finger set driven by shape memory alloy actuators. Journal of Japanese Society of Agricultural Machinery 53 5 (1991) 85-91 (in Japanese)
22. Okamoto T., Zhao C.S., Miyama Y., Torii T., and Imou K. Robotic sugarcane seedling propagation system in tissue culture. Journal of Japanese Society of Agricultural Machinery 60 6 (1998) 71-77 (in Japanese)
23. Pudil P., Novovicova J., and Kittler J. Floating search methods in feature selection. Pattern Recognition Letters 15 11 (1994) 1119-1125
24. In: Rao S.S. (Ed). Engineering Optimization Theory and Practice. 3rd ed. (1996), Wiley-Interscience, New York
25. Rath T., and Kawollek M. Robotic harvesting of Gerbera Jamesonii based on detection and three-dimensional modeling of cut flower pedicels. Computers and Electronics in Agriculture 66 (2009) 85-92
26. Schaufler D.H., and Walker P.N. Micropropagation of sugarcane between parallel plates. Transactions of the ASAE 27 4 (1994) 1220-1225
27. Schaufler D.H., and Walker P.N. Micropropagation of sugarcane shoot identification using machine vision. Transactions of the ASAE 28 6 (1995) 1919-1925
28. Shrestha D.S., and Steward B.L. Shape and size analysis of corn plant canopies for plant population and spacing sensing. Applied Engineering in Agriculture 21 2 (2005) 295-303
29. Simonton W., and Graham D. Bayesian and fuzzy logic classification for plant structure analysis. Applied Engineering in Agriculture 12 1 (1996) 89-97
30. Simonton W., and Pease J. Orientation independent machine vision classification of plant parts. Journal of Agricultural Engineering Research 54 (1993) 231-243
31. Tillett R.D. Vision-guided planting of dissected microplants. Journal of Agricultural Engineering Research 46 (1990) 197-205
32. Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation 3 4 (1987) 323-344
33. Wang, Z., Heinemann, P.H., Walker, P.N., Morrow, C.T., Sommer, H.J., Heuser, C., 1996. Vision-guided separation of micropropagated sugarcane shoots, ASAE Paper 962096.
34. Wang Z., Heinemann P.H., Sommer H.J., Walker P.N., Morrow C.T., and Heuser C. Identification and separation of micropropagated sugarcane shoots based on the Hough transform. Transactions of the ASAE 41 5 (1998) 1525-1541
35. Wang Z., Heinemann P.H., Walker P.N., and Heuser C. Automated micropropagated sugarcane shoot separation by machine vision. Transactions of the ASAE 42 1 (1999) 247-254
36. Yamashita T., Murase T., and Miwa Y. Automation of plantlets dissection in tissue culture. Proceedings of JSPE Autumn Meeting (1991) 353-354 (in Japanese)