DOI QR코드

DOI QR Code

Apple Quality Measurement Using Hyperspectral Reflectance and Fluorescence Scattering

하이퍼 스펙트랄 반사광 및 형광 산란을 이용한 사과 품질 측정

  • Noh, Hyun-Kwon (Dept. of Biosystems Engineering, Chungbuk National University) ;
  • Lu, Renfu (Sugarbeet and Bean Research Unit in EastLansing)
  • Published : 2009.02.25

Abstract

Hyperspectral reflectance and fluorescence scattering have been researched recently for measuring fruit post-harvest quality and condition. And they are promising for nondestructive detection of fruit quality. The objective of this research was to develop a model, which measure the quality of apple by using hyperspectral reflectance and fluorescence. A violet laser (408 nm) and a quartz tungsten halogen light were used as light sources for generating laser induced fluorescence and reflectance scattering in apples, respectively. The laser induced fluorescence and reflectance of 'Golden Delicious' apples were measured by using a hyperspectral imaging system. Fruit firmness, soluble solids and acid content were measured using standard destructive methods. Principal component analyses were performed to extract critical information from both hyperspectral reflectance and fluorescence data and this information was then related to fruit quality indexes. The fluorescence models had poorer predictions of the three quality indexes than the reflectance models. However, the prediction models of integrating fluorescence and reflectance performed consistently better than the individual models of either reflectance or fluorescence. The correlation coefficient for fruit firmness, soluble solid content, and tillable acidity from the integrated model was 0.86, 0.75, and 0.66 respectively. Also the standard errors were 6.97 N, 1.05%, and 0.07% respectively.

Keywords

References

  1. Bodria, L., M. Fiala, R. Oberti. and E. Naldi. 2002. Chlorophyll fluorescence sensing for early detection of crop's diseases symptoms. ASAE Paper No. 021114. ASAE, St. Joseph, Michigan, USA
  2. Bron, I. U., R. V. Ribeiro, M. Azzolini, A. P. Jacomino and E. C. Machado. 2004. Chlorophyll fluorescence as a tool to evaluate the ripening of 'Golden' papaya fruit. Postharvest Biology and Technology 33(2):163-173 https://doi.org/10.1016/j.postharvbio.2004.02.004
  3. Cho, Y. J. and Y. J. Han; 1999. Nondestructive characterization of apple firmness by quantitation of laser scatter. Journal of Texture Studies 30(6):625-638 https://doi.org/10.1111/j.1745-4603.1999.tb00234.x
  4. Choi, S., C. S. Lee, D. Chung, H. Jung and K. Chang. 2001. Nondestructive Evaluation of Internal Browning in 'Fuji' Apples. Journal of the Korean Society of Horticultural Science 42(1):83-86
  5. Clark, C. J., J. S. MacFall and R. L. Bieleski. 1998. Loss of watercore in Fuji apple observed by magnetic resonance imaging. Scientia Horticulturae 73:213-227 https://doi.org/10.1016/S0304-4238(98)00076-4
  6. DeEll, J. R., R. K. Prange and D. P. Murr. 1995. Chlorophyll fluorescence as a potential indicator of controlled-atmosphere disorders in 'Marshall' mcIntosh apples. HortScience 30(5):1084-1085
  7. Gavel, A. and B. Marsalek. 2004. A novel approach for phytotoxicity assessment by CCD fluorescence imaging. Environmental Toxicology 19(4):429-432 https://doi.org/10.1002/tox.20043
  8. Kim, K. B., M. S. Kim, H. M. Chung and S. D. Lee. 2003. Mechanical Properties and Ultrasonic Parameters of the Apple Flesh while in Storage. Journal of Biosystems Engineering 28(3):239-244 https://doi.org/10.5307/JBE.2003.28.3.239
  9. Kim, H. U, S. H. Noh and K. Kim. 1999. Nondestructive determination of sugar content in apples using ratio of difference of NlR spectral absorbance. Food Engineering Progress 3(1):8-14
  10. Lammertyn, J., B. Nicolai, K. Ooms, V. De Smedt and J. De Baerdemaeker. 1998. Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR spectroscopy. Transactions of the ASAE 41(4):1089-1094 https://doi.org/10.13031/2013.17238
  11. Lu, R., D. E. Guyer and R. M. Beaudry. 2000. Determination of firmness and sugar content of apples using near-infrared diffuse reflectance. Journal of Texture Studies 31(4):615-630 https://doi.org/10.1111/j.1745-4603.2000.tb01024.x
  12. Lu, R. 2003. Detection of bruises on apples using near-infrared hyperspectral imaging. Transactions of the ASAE 46(2):523-530
  13. Lu, R. and Y. Peng. 2004. Hyperspectral scattering for assessing peach fruit firmness. ASAE Paper No. 043007. ASAE, St. Joseph, Michigan, USA
  14. McGlone, V. A., H. Abe and S. Kawano. 1997. Kiwifruit firmness by near infrared light scattering. Journal of NIR Spectroscopy 5:83-89 https://doi.org/10.1255/jnirs.102
  15. Nedbal, L., J. Soukupova, J. Whitmarsh and M. Trtilek. 2000. Postharvest imaging of chlorophyll fluorescence from lemons can be used to predict fruit quality. Photosynthetica 38(4):571-579 https://doi.org/10.1023/A:1012413524395
  16. Polder, G., G. W. A. M. van der Heijden and I. T. Young. 2002. Spectral Image Analysis for Measuring Ripeness of Tomatoes. Transactions of the ASAE 45(4):1155-1161
  17. Seo, Y., K. J. Kim and S. H. Noh. 2007. Study for nondestructive detection algorithm development of the internal browning and watercore of fuji apple using VIS/NIR transmittance spectroscopy. Food Engineering Progress 11(1):38-44
  18. Seo, Y. and S. H. Noh. 2007. Discriminant analysis internal quality of 'Fuji' apples using transmittance NIR spectra. Proceedings of the KSAM conference 12(2):397-401
  19. Takeuchi, A., Y. Saito, M. Kanoh, T. D. Kawahara, A. Nomura, H. lshizawa, T. Matsuzawa and K. Komatsu. 2002. Laser-induced fluorescence detection of plant and optimal harvest time of agricultural products (Lettuce). Applied Engineering in Agriculture 18(3):361-366
  20. Tu, K., R. De Busscher, J. De Baerdemaeker and E. Schrevens. 1995. Using laser beam as light source to study tomato and apple quality non-destructively. In Proc. of the Food Processing Automation IV Conference. pp.528-536. Chicago, IL, USA

Cited by

  1. Rapid monitoring of the fermentation process for Korean traditional rice wine ‘Makgeolli’ using FT-NIR spectroscopy vol.73, 2015, https://doi.org/10.1016/j.infrared.2015.09.007