Detection of contaminated hazelnuts and ground red chili pepper flakes by multispectral imaging

Computers and Electronics in Agriculture

Volumn 77, Issue 1, 2011, Pages 28-34

  Kalkan, H ^a,c   Beriat, P ^a   Yardimci, Y ^a   Pearson, T C ^b  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

^c SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

Classification; Feature extraction; Food safety; Multispectral imaging

Indexed keywords

CENTER FREQUENCY; CHILI PEPPER; CLASSIFICATION; CLASSIFICATION ACCURACY; DISCRIMINATIVE FEATURES; FILAMENTOUS FUNGI; HYPERSPECTRAL; IMAGE ACQUISITION SYSTEMS; INTERNATIONAL COMMERCE; LOCAL DISCRIMINANT BASIS; MULTI-SPECTRAL DATA; MULTI-SPECTRAL IMAGING SYSTEMS; MULTISPECTRAL IMAGING; NON DESTRUCTIVE TESTING; PASSBAND WIDTH; REAL TIME; REGULATORY AGENCIES; SPECTRAL BAND; TOXIC METABOLITES;

AFLATOXINS; ALGORITHMS; CONTAMINATION; FEATURE EXTRACTION; HEALTH; IMAGING SYSTEMS; METABOLITES; NONDESTRUCTIVE EXAMINATION; TOXICITY;

FOOD SAFETY;

ALGORITHM; CANCER; CARCINOGEN; DATA ACQUISITION; DETECTION METHOD; DICOTYLEDON; FOOD SAFETY; FUNGUS; METABOLITE; MULTISPECTRAL IMAGE; NUT; REAL TIME; TOXIN;

CAPSICUM FRUTESCENS; CORYLUS; FUNGI;

EID: 79957689783     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2011.03.005     Document Type: Article

References (28)

1. Bollenbacher K., Marsh P.B. A preliminary note on a fluorescent-fiber condition in raw cotton. Plant Disease Reporter 1954, 38:375-379.
2. Bothast R.J., Hesseltine C.W. Bright greenish-yellow fluorescence and aflatoxin in agricultural commodities. Applied Microbiology 1975, 337:338.
3. Cheriyadat A., Bruce L. M., 2003. Decision level fusion with best-bases for hyperspectral classification. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, USA.
4. Clemmensen L.H., Hansen M.E., Ersboll B.K. A comparison of dimension reduction methods with application to multi-spectral images of sand used in concrete. Machine Vision and Applications 2010, 21:959-968.
5. Dichter C.R. Risk estimates of liver cancer due to aflatoxin exposure from peanuts and peanut products. Food and Chemical Toxicology 1984, 22(6):431-437.
6. Doster M.A., Michailides T.J. Production of bright greenish yellow fluorescence in figs infected by Aspergillus species in California orchards, The American Phytopathological Society. Plant Disease 1998, 82(6).
7. European Commission Regulation (EC) No 1881/2006 of 19 December 2006: setting maximum levels for certain contaminants in foodstuffs, Official Journal of European Union.
8. Fersaie A., McClure W.F., Monroe R.J. Development of indices for sorting Iranian pistachio nuts according to fluorescence. Journal of Food Science 1978, 43(5):1550-1552.
9. Gonzales R.C., Woods R.E. Digital Image Processing 1992, Addison-Wesley Pub (SD). 3rd ed.
10. Hadavi E. Several physical properties of aflatoxin-contaminated pistachio nuts: application of BGY fluorescence for separation of aflatoxin-contaminated nuts. Food Additives and Contaminants 2005, 22(11):1144-1153.
11. Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning 2001, Springer.
12. Hirano S., Okawara N., Narazaki S. Near infrared detection of internally moldy nuts. Bioscience, Biotechnology, and Biochemistry 1998, 62(1):102-107.
13. Hsu, P.H., Tseng, Y.H., 2002. Feature extraction of hyperspectral data using the best wavelet packet basis, Proc. IEEE Geoscience and Remote Sensing Symposium (IGARSS).
14. Ince N.F., Arica S., Tewfik A.H. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings. Journal of Neural Engineering 2006, 3:235-244.
15. Jacks T. Evaluation of kojic acid for determining heme and nonheme haloperoxidase activities spectrouorometrically. Analytical Letters 2005, 38:921-927.
16. Kumar S., Ghosh J., Crawford M.M. Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 2001, 39:1368-1379.
17. Mallat S.G. A Wavelet Tour of Signal Processing 1998, Academic Press.
18. Marsh P.B., Simpson M.E., Ferretti R.J., Campbell T.C., Donoso J. The relation of aflatoxin in cotton seeds at harvest to fluorescence in fiber. Journal of Agricultural and Food Chemistry 1969, 17:462-467.
19. Pearson T., Wicklow D., Maghirang E., Xie F., Dowell F. Detecting aflatoxin in single corn kernels by using transmittance and reflectance spectroscopy. Transactions of the ASAE 2001, 44(5):1247-1254.
20. Saito N., Coifman R.R. Local discriminant bases, in mathematical imaging: wavelet applications in signal and image processing. Proceedings of SPIE 1994, 2003:2-14.
21. Schatzki T.F., Pan J.L. Distribution of Aflatoxin in Pistachios. 3. Distribution in Pistachio Process Streams. Journal of Agricultural and Food Chemistry 1996, 44:1076-1084.
22. Senyuva H.S., Gilbert J. Immunoaffinity column cleanup with liquid chromatography using post-column bromination for determination of aflatoxins in hazelnut paste: interlaboratory study. Journal of AOAC International 2005, 88:2.
23. Sommer N.F., Fortlage R.J. Relation of early splitting and tattering of pistachio nuts to aflatoxin in the orchard. Phytopathology 1986, 76:692-694.
24. Steiner W.E., Rieker R.H., Battaglia R. Aflatoxin contamination in dried figs: distribution and association with fluorescence. Journal of Agricultural and Food Chemistry 1988, 36(1).
25. Steiner W.E., Brunschweiler K., Leimbacher E., Schneider R. Aflatoxins and fluorescence in Brazil nuts and pistachio nuts. Journal of Agricultural and Food Chemistry 1992, 40:2453-2457.
26. Tayson T.W., Clark R.L. An investigation of florescence properties of the aflatoxin -infected pecans. Transactions of the ASAE 1974, 17:942-944.
27. Wicklow D. Influence of Aspergillus flavus strains on aflatoxin and bright greenish yellow fluorescence of corn kernels, The American Phytopathological Society. Plant Disease 1999, 83(2):1-4.
28. Wilson D. Analytical method for aflatoxin in corn and peanuts, Arch. Environment Contamination and Toxicology 1989, 18:304-314.