Detection of internal defect in pickling cucumbers using hyperspectral transmittance imaging

Transactions of the ASABE

Volumn 51, Issue 2, 2008, Pages 705-713

  Ariana, Diwan P ^a   Lu, Renfu ^a,b  

^a U S DEPARTMENT OF AGRICULTURE   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Bruises; Cucumbers; Defects; Hyperspectral imaging; Transmittance

Indexed keywords

CUCUMBERS; HYPERSPECTRAL IMAGING;

DISCRIMINANT ANALYSIS; FOOD PROCESSING; FOOD PRODUCTS; IMAGE ANALYSIS; LEAST SQUARES APPROXIMATIONS;

IMAGE QUALITY;

DETECTION METHOD; IMAGING METHOD; TRANSMITTANCE; VINE;

CUCUMIS SATIVUS;

EID: 44449146035     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (38)

1. Abbott, J. A., A. R. Miller, and T. A. Campbell. 1991. Detection of mechanical injury and physiological breakdown of cucumbers using delayed light emission. J. American Soc. Hort. Sci. 116(1): 52-57.
2. Abbott, J. A., R. Lu, B. L. Upchurch, and R. L. Stroshine. 1997. Technologies for nondestructive quality evaluation of fruits and vegetables. Hort. Reviews 20: 1-119.
3. Ariana, D., R. Lu, and D. Guyer. 2005. Detection of mechanical injury on pickling cucumbers using near-infrared hyperspectral imaging. Proc. SPIE 5996: 59960P.
4. Berrueta, L. A., R. M. Alonso-Salces, and K. Heberger. 2007. Supervised pattern recognition in food analysis. J. Chromatography A 1158(1-2): 196-214.
5. Birth, G. S. 1960. A nondestructive technique for detecting internal discolorations in potato. American Potato J. 37(2): 53-60.
6. Brereton, R. G. 2003. Chemometrics: Data Analysis for the Laboratory and Chemical Plant. Chichester, U.K.: Wiley.
7. Chen, P. 1978. Use of optical properties of food material in quality evaluation and materials sorting. J. Food Process Eng. 2(4): 307-322.
8. Cheng, X., Y. R. Chen, Y. Tao, C. Y. Wang, M. S. Kim, and A. M. Lefcourt. 2004. A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection. Trans. ASAE 47(4): 1313-1320.
9. Clark, C. J., V. A. McGlone, and R. B. Jordan. 2003. Detection of brownheart in 'Braeburn' apple by transmission NIR spectroscopy. Postharvest Biol. Tech. 28(1): 87-96.
10. Cogdill, R. P., C. R. Hurburgh, G. R. Rippke, S. J. Bajic, R. W. Jones, J. F. McClelland, T. C. Jensen, and J. Liu. 2004. Single-kernel maize analysis by near-infrared hyperspectral imaging. Trans. ASAE 47(1): 311-320. Erratum in Trans. ASABE 49(1): 227.
11. Duckworth, J. 2004. Mathematical data preprocessing. In Near-Infrared Spectroscopy in Agriculture, 115-132. C. A. Roberts, J. Jerry Workman, and J. B. R. III, eds. Madison, Wisc.: ASA, CSSA, SSSA.
12. Efron, B., and G. Gong. 1983. A leisurely look at the bootstrap, the jacknife, and cross-validation. American Statistician 37(1): 36-48.
13. Kavdir, I., R. Lu, D. Ariana, and M. Nguajio. 2006. Nondestructive quality assessment of pickling cucumbers using visible and near infrared spectroscopy. In 4th IFAC/CIGR Workshop: Control Applications in Post-Harvest and Processing Technology, Paper No. CAPPT0068.
14. Kim, M. S., A. M. Lefcourt, K. Chao, Y. R. Chen, I. Kim, and D. E. Chan. 2002. Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part I. Application of visible and near-infrared reflectance imaging. Trans. ASAE 45(6): 2027-2037.
15. Lawrence, K. C., B. Park, W. R. Windham, and C. Mao. 2003. Calibration of a pushbroom hyperspectral imaging system for agricultural inspection. Trans. ASAE 46(2): 513-521.
16. Lawrence, K. C., D. P. Smith, W. R. Windham, G. W. Heitschmidt, and B. Park. 2006. Egg embryo development detection with hyperspectral imaging. Intl. J. Poultry Sci. 5(10): 964-969.
17. Lee, K. J., S. Kang, M. S. Kim, and S. H. Noh. 2005. Hyperspectral imaging for detecting defect on apples. ASAE Paper No. 053075. St. Joseph, Mich.: ASAE.
18. Liu, Y., Y. R. Chen, C. Y. Wang, D. E. Chan, and M. S. Kim. 2005. Development of simple algorithm for detection of chilling injury in cucumbers from visible/near-infrared hyperspectral imaging. Applied Spectroscopy 59(1): 78-85.
19. Lu, R. 2003. Detection of bruises on apples using near-infrared hyperspectral imaging. Trans. ASAE 46(2): 523-530.
20. Lu, R., and Y. R. Chen. 1998. Hyperspectral imaging for safety inspection of food and agricultural products. Proc. SPIE 3544: 121-133.
21. Lu, R., Y. R. Chen, B. Park, and K. H. Choi. 1999. Hyperspectral imaging for detecting bruises in apples. ASAE Paper No. 013076. St. Joseph, Mich.: ASAE.
22. Martens, H., and T. Naes. 1989. Multivariate Calibration. Chichester, U.K.: Wiley.
23. McGlone, V. A., and P. J. Martinsen. 2004. Transmission measurements on intact apples moving at high speed. J. Near Infrared Spectroscopy 12(1): 37-43.
24. Mehl, P. M., Y. R. Chen, M. S. Kim, and D. E. Chan. 2004. Development of hyperspectral imaging technique for detection of apple surface defects and contaminations. J. Food Eng. 61(1): 67-81.
25. Miller, A. R., J. P. Dalmasso, and D. W. Kretchman. 1987. Mechanical stress, storage time, and temperature influence cell wall-degrading enzymes, firmness, and ethylene production by cucumbers. J. American Soc. Hort. Sci. 112(4): 666-671.
26. Miller, A. R., T. J. Kelley, and B. D. White. 1995. Nondestructive evaluation of pickling cucumbers using visible-infrared light transmission. J. American Soc. Hort. Sci. 120(6): 1063-1068.
27. Nicolaï, B. M., E. Lötze, A. Peirs, N. Scheerlinck, and K. I. Theron. 2006. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging. Postharvest Biol. and Tech. 40(1): 1-6.
28. Osborne, B. G., T. Fearn, and P. H. Hindle. 1993. Practical NIR Spectroscopy with Applications in Food and Beverage Analysis. Harlow, U.K.: Longman Scientific & Technical.
29. Park, B., K. C. Lawrence, W. R. Windham, and R. J. Buhr. 2002. Hyperspectral imaging for detecting fecal and ingesta contaminants on poultry carcasses. Trans. ASAE 45(6): 2017-2026.
30. Park, B., K. C. Lawrence, W. R. Windham, and D. P. Smith. 2005. Detection of cecal contaminants in visceral cavity of broiler carcasses using hyperspectral imaging. Applied Eng. in Agric. 21(4): 627-635.
31. Park, B., K. C. Lawrence, W. R. Windham, and D. P. Smith. 2006. Performance of hyperspectral imaging system for poultry surface fecal contaminant detection. J. Food Eng. 75(3): 340-348.
32. Qin, J., and R. Lu. 2005. Detection of pits in tart cherries by hyperspectral transmission imaging. Trans. ASAE 48(5): 1963-1970.
33. Upchurch, B. L., J. A. Throop, and D. J. Aneshansley. 1995. Detection of internal browning in apples by light transmittance. Proc. SPIE 2345: 377-384.
34. Van der Meer, F. 2006. The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery. Intl. J. Applied Earth Observation and Geoinfo. 8(1): 3-17.
35. Vogelmann, T. C. 1993. Plant tissue optics. Annual Review of Plant Physiol. and Plant Molecular Biol. 44: 231-251.
36. Wilson, J. E., and L. R. Baker. 1976. Inheritance of carpel separation in mature fruits of pickling cucumbers. J. American Soc. Hort. Sci. 101(1): 66-69.
37. Wold, S., M. Sjostrom, and L. Eriksson. 1998. Partial least squares projections to latent structures (PLS) in chemistry. In Encyclopedia of Computational Chemistry, 2006-2021 P. v. R. Schleyer, ed. Amsterdam, The Netherlands: Elsevier.
38. Xing, J., C. Bravo, P. T. Jancsok, H. Ramon, and J. De Baerdemaeker 2005. Detecting bruises on 'Golden Delicious' apples using hyperspectral imaging with multiple wavebands. Biosystems Eng. 90(1): 27-36.