Detection of potato tubers using an ultraviolet imaging-based machine vision system

Biosystems Engineering

Volumn 105, Issue 2, 2010, Pages 257-265

  Al Mallahi, A ^a   Kataoka, T ^a   Okamoto, H ^a   Shibata, Y ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER VISION; CONVEYORS; FOOD STORAGE; HARVESTERS; OBJECT DETECTION;

CALIBRATION METHOD; INTENSITY HISTOGRAMS; INTENSITY VALUES; LIGHTING CONDITIONS; MACHINE VISION SYSTEMS; POTATO HARVESTERS; STORAGE CONTAINER; ULTRAVIOLET IMAGING;

TUBES (COMPONENTS);

SOLANUM TUBEROSUM;

EID: 75349088064     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2009.11.004     Document Type: Article

References (26)

1. Al-Mallahi A.A., Kataoka T., and Okamoto H. Discrimination between potato tubers and clods by detecting the significant wavebands. Biosystems Engineering 100 (2008) 329-337
2. Belanger M.C., Viau A.A., Samon G., and Chamberland M. Determination of multivariate indicator of nitrogen imbalance (MINI) in potato using reflectance and fluorescence spectroscopy. Agronomy Journal, American Society of Agronomy 97 (2005) 1515-1523
3. Bogrekci I., and Lee W.S. Spectral phosphorus mapping using diffuse reflectance of soils and grass. Biosystems Engineering 91 3 (2005) 305-312
4. Bogrecki I., and Lee W.S. Comparison of ultraviolet and near infrared sensing for soil phosphorus. Biosystems Engineering 96 2 (2007) 293-299
5. Campbell D.J. A Review of the clod problem in potato production. Journal of Agricultural Engineering Research 27 (1982) 373-395
6. Corp L.A., Chappelle B.W., McMuttrey J.E., Kim S.M. 1994. A new fluorescence band obtained by the excitation of plants at 280 nm and its implications to the remote assessment of vegetation. Geoscience and Remote Sensing Symposium. IEEE conference proceedings. Vol 2, p. 986-989.
7. Chen Y.R., Chao K., and Kim M.S. Machine vision technology for agriculture applications. Computer and Electronics in Agriculture 36 (2002) 173-191
8. Daughtry C.S.T., McMurtrey J.E., Kim M.S., and Chappelle E.W. Estimating crop residue cover by blue fluorescence imaging. Remote Sensing Environment 60 (1997) 14-21
9. Ghiradella H., Aneshansley D., Eisner T., Silberglied R.E., and Hinton H.E. Ultraviolet reflection of a male butterfly: interference color caused by thin-layer elaboration of wing scales. Science Magazine 179 (1973) 415
10. Gogineni S., White J.G., Thomasson J.A., Thompson P.G, Wooten J.R., Shankle M. 2002. Image-Based Sweet Potato Yield and Grading Monitor. 2002 ASAE Annual Meeting/CIGR XVth World Congress. Chicago, USA. 021169.
11. Gonzalez R.C., and Woods R.E. Digital Image Processing (1992), Addison-Wesley Publishing Company, USA
12. Hofstee J.W., and Molema G.J. Volume Estimation of Potatoes Partly Covered with Dirt Tare (2002), ASAE Meeting Presentation 031001
13. Islam K., McBratney A., and Singh B. Rapid estimation of soil variability from the convex hull biplot area of topsoil ultra-violet, visible and near-infrared diffuse reflectance spectra. Geoderma 128 (2005) 249-257
14. Kevan P.G., Chittka L., and Dyer A. Limits to the salience of ultraviolet: lessons from colour vision in bees and birds. Journal of Experimental Biology 204 (2001) 2571-2580
15. Kozlowska A. Detection of latent strains of potato virus X by ultraviolet light. American Potato Journal 37 (1960) 237-241
16. Main J.C. Potatoes in the U.K. developments in production and marketing. Span 14 2 (1971) 87-90
17. McGechan M.B. An investigation into the relative effectiveness of various riddling motions for removal of soil from potatoes. Journal of Agricultural Engineering Research 22 (1977) 229-245
18. McGechan M.B. An Investigation into the damage sustained by different varieties of potatoes during riddling to remove soil. Journal of Agricultural Engineering Research 25 (1980) 345-353
19. McRae D.C. A review of developments in potato handling and grading. Journal of Agricultural Engineering Research 31 (1985) 115-138
20. McRae D C; Hutchinson P S; Carruthers J (1985b). Sieving control and horizontal agitation of potato harvester chains. In: Engineering for Potatoes (Cargill BF; eds ) 35-51, 91-615-798.
21. Noble S.D., and Crowe T.G. Plant Discrimination Based on Leaf Reflectance (2001), 2001 ASAE Annual Meeting, Sacramento, USA 011150
22. Ousama M.A., Ronald D.L., and Irving J.B. Comparison between ultraviolet-visible and near infrared elastic scattering spectroscopy of chemically induced melanomas in an animal model. Journal of Biomedical Optics 9 6 (2004) 1320-1326
23. Pirie A., Singh B., and Islam K. Ultraviolet-visible, near-infrared and mid-infrared diffuse reflectance spectroscopic techniques to predict several soil properties. Australian Journal of Soil Research 43 (2005) 713-721
24. Pye D. To add another hue unto the rainbow-near ultraviolet in nature. Optics and Laser Technology (2009) 10.1016/j.optlastec.2009.01.007
25. Quilitzsch R., Barnaska M., Schulz H., and Hoberg E. Fast determination of carrot quality by spectroscopy methods in the UV-VIS, NIR and IR range. Journal of Applied Botany and Food Quality 79 (2005) 163-167
26. 3-polyaniline composite. Journal of Material Science Letters 13 (1994) 365-368