Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks

Postharvest Biology and Technology

Volumn 52, Issue 1, 2009, Pages 1-8

  ElMasry, Gamal ^a   Wang, Ning ^b   Vigneault, Clément ^b,c  

^a University of Suez Canal   (Egypt)

^b OKLAHOMA STATE UNIVERSITY   (United States)

^c AGRICULTURE AND AGRI FOOD CANADA   (Canada)

Author keywords

Apple; Artificial neural network (ANN); Chilling injury; Firmness; Hyperspectral imaging; Optimal wavelength

Indexed keywords

MALUS X DOMESTICA;

EID: 58849087044     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2008.11.008     Document Type: Article

References (30)

1. ASAE. Compression test of food materials of convex shape. ASAE Standards (1994), ASAE, St. Joseph, MI, USA ASAE S368.2, pp. 472-475
2. Barreiro P., Steinmetz V., and Ruiz-Altisent M. Neural bruise prediction models for fruit handling and machinery evaluation. Computers and Electronics in Agriculture 8 1 (1997) 91-103
3. Birth G.S. How light interacts with foods. In: Gafney J.J. (Ed). Quality Detection in Foods (1976), ASAE, St. Joseph, MI, USA
4. Bochereau L., Bourgine P., and Palagos B. A method for prediction by combining data analysis and neural networks: application to prediction of apple quality using near infra-red spectra. Journal of Agricultural Engineering Research 51 2 (1992) 207-216
5. Chao K., Chen Y.R., Hruschka W.R., and Park B. Chicken heart disease characterization by multi-spectral imaging. Transactions of the ASAE 17 1 (2001) 99-106
6. Cheng X., Chen Y.R., Tao Y., Wang C.Y., Kim M.S., and Lefcourt A.M. A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection. Transactions of the ASAE 47 4 (2004) 1313-1320
7. Chong L.G., and Jun C.H. Performance of some variable selection methods when multicollinearity is present. Chemometrics and Intelligent Laboratory Systems 78 1 (2005) 103-112
8. FAOSTAT, 2006. Food and agriculture organization of the United Nations for a world without hunger. http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567#ancor. Web site visited on November 24, 2008.
9. Glorfeld L.W. A methodology for simplification and interpretation of backpropagation-based neural network models. Expert Systems with Applications 10 1 (1996) 37-54
10. Hahn F., Lopez I., and Hernandez G. Spectral detection and neural network discrimination of Rhizopus stolonifer spores on red tomatoes. Biosystems Engineering 89 1 (2004) 93-99
11. Hruschka W.R. Data analysis: wavelength selection methods. In: Norris W.P. (Ed). Near-Infrared Technology in the Agricultural and Food Industries (2001), American Association of Cereal Chemists
12. Jayas D.S., Paliwal J., and Visen N.S. Multi-layer neural networks for image analysis of agricultural products. Journal of Agricultural Engineering Research 77 2 (2000) 119-128
13. Kavdi{dotless}r I., and Guyer D.E. Apple sorting using artificial neural networks and spectral imaging. Transaction of the ASAE 45 6 (2002) 1995-2005
14. Kavdi{dotless}r I., and Guyer D.E. Comparison of artificial neural networks and statistical classifiers in apple sorting using textural features. Biosystems Engineering 89 3 (2004) 331-344
15. Keskin M., Dodd R.B., Han Y.J., and Khalilian A. Assessing nitrogen content of golf course turfgrass clippings using spectral reflectance. Applied Engineering in Agriculture 20 6 (2004) 851-860
16. Kim J., Mowat A., Poole P., and Kasabov N. Linear and non-linear pattern recognition models for classification of fruit from visible-near infrared spectra. Chemometrics and Intelligent Laboratory Systems 51 (2000) 201-216
17. Kim M.S., Lefcourt A.M., Chao K., Chen Y.R., Kim I., and Chan D.E. Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part I. Application of visible and near-infrared reflectance imaging. Transactions of the ASAE. 45 6 (2002) 2027-2037
18. Liu Y., Windham W.R., Lawrence K.C., and Park B. Simple algorithms for the classification of visible/near-infrared and hyperspectral imaging spectra of chicken skins, feces, and fecal contaminated skins. Applied Spectroscopy 57 12 (2003) 1609-1612
19. Liu Y., Chen Y.R., Wang C.Y., Chan D.E., and Kim M.S. Development of hyperspectral imaging technique for the detection of chilling injury in cucumbers; spectral and image analysis. Applied Engineering in Agriculture 22 1 (2006) 101-111
20. Lu R. Multispectral imaging for predicting firmness and soluble solids content of apple fruit. Postharvest Biology and Technology 31 1 (2004) 147-157
21. Mehl P.M., Chao K., Kim M., and Chen Y.R. Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Applied Engineering in Agriculture 18 2 (2002) 219-226
22. Mehl P.M., Chen Y.R., Kim M.S., and Chan D.E. Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations. Journal of Food Engineering 61 1 (2004) 67-81
23. Nagata, M., Tallada, J.G., Kobayashi, T., Toyoda, H., 2005. NIR hyperspectral imaging for measurement of internal quality in strawberries. ASAE Paper No. 053131, ASAE Meeting, Tampa, FL, USA.
24. Park, B., Chen, Y.R., 1996. Multispectral image analysis using neural network algorithm. ASAE Paper No. 96-3034.
25. Park, B., Windham, W.R., Lawrence, K.C., Smith, D.P., 2004. Hyperspectral image classification for fecal and ingesta identification by spectral angle mapper. ASAE Paper No. 043032, ASAE/CSAE Meeting, Ottawa, Ont., Canada.
26. Polder G., van der Heijden G.W.A.M., and Young I.T. Spectral image analysis for measuring ripeness of tomatoes. Transactions of the ASAE 45 4 (2002) 1155-1161
27. Skog, L.J., 1998. Chilling Injury of Horticultural Crops. Food and Rural Affairs, Report No. 98-021, Ontario Ministry of Agriculture, Canada.
28. Vízhányó T., and Felföldi J. Enhancing colour differences in images of diseased mushrooms. Computers and Electronics in Agriculture 26 2 (2000) 187-198
29. Watkins C., and Jackie Nock J. SmartFreshTM (1-MCP)-the good and bad as we head into the 2004 season. New York Fruit Quarterly 12 3 (2004) 1-26
30. Xing J., and De Baerdemaeker J. Bruise detection on 'Jonagold' apples using hyperspectral imaging. Postharvest Biology and Technology 37 1 (2005) 152-162