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Original Articles

Application of Near-Infrared Hyperspectral Imaging for Detection of External Insect Infestations on Jujube Fruit

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Pages 41-52 | Received 26 Sep 2013, Accepted 08 May 2014, Published online: 09 Oct 2015

REFERENCES

  • Huang, M.; Wan, X.M.; Zhang, M.; Zhu, Q.B. Detection of insect-damaged vegetable soybeans using hyperspectral transmittance image. Journal of Food Engineering 2013, 116, 45–49.
  • Wang, J.; Nakano, K.; Ohashi, S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy. LWT-Food Science and Technology 2011a, 44, 1119–1125.
  • Wang, J.; Nakano, K.; Ohashi, S. Nondestructive detection of internal insect infestation in jujubes using visible and near-infrared spectroscopy. Postharvest Biology and Technology 2011b, 59, 272–279.
  • Qin, J.W.; Thomas, F.B.; Mark, A.R.; Gordon, B.W. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence. Journal of Food Engineering 2009, 93, 183–191.
  • Throop, J. A.; Aneshansley, D.J.; Anger, W.C.; Peterson, D.L. Quality evaluation of apples based on surface defects: Development of an automated inspection system. Postharvest Biology and Technology 2005, 36, 281–290.
  • Zhu, B.; Jiang, L.; Luo, Y.G.; Tao, Y. Gabor feature-based apple quality inspection using kernel principal component analysis. Journal of Food Engineering 2007, 81, 741–749.
  • Zou, X.B.; Zhao, J.W.; Li, Y.X.; Mel, H. In-line detection of apple defects using three color cameras system. Computers and Electronics in Agriculture 2010, 70, 129–134.
  • Kim, S.; Schatzki, T.F. Apple watercore sorting system using x-ray imagery: I. Algorithm development. Transactions of the ASAE 2000, 43, 1695–1702.
  • Kotwaliwale, N.; Weckler, P.R.; Brusewitz, G.H.; Kranzler, G.A.; Maness, N.O. Non-destructive quality determination of pecans using soft X-rays. Postharvest Biology and Technology 2007, 45, 372–380.
  • Lammertyn, J.; Nicolaï, B.; Ooms, K.; Smedt, V.D.; Baerdemaeker, J.D. Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy. Transactions of the ASAE 1998, 41, 1089–1094.
  • Liu, Y.D.; Sun, X.D.; Aiguo, O. Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN. LWT - Food Science and Technology 2010, 43, 602–607.
  • Marc, V.; Riccardo, L.; Guy, S.; Giorgio, L.; Jean, P.P. Multivariate calibration of mango firmness using vis/NIR spectroscopy and acoustic impulse method. Journal of Food Engineering 2009, 94, 7–13.
  • Muhammad, M.; Peeyush, S. Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision. Computers and Electronics in Agriculture 2013, 93, 129–139.
  • Wang, J.; Nakano, K.; Ohashi, S. Nondestructive detection of internal insect infestation in jujubes using visible and near-infrared spectroscopy. Postharvest Biology and Technology 2011, 59, 272–279.
  • ElMasry, G.; Sun, D.W.; Allen, P. Near-infrared hyperspectral imaging for predicting colour, pH, and tenderness of fresh beef. Journal of Food Engineering 2012, 110, 7–140.
  • Lu, R. Detection of bruises on apples using near-infrared hyperspectral imaging. Transactions of the ASAE 2003, 46, 523–530.
  • Mehl, P.M.; Chen, Y.R.; Kim, M.S.; Chan, D.E. Development of hyperspectral imaging technique for detection of apple surface defects and contaminations. Journal of Food Engineering 2004, 61, 67–81.
  • Nicolaï, B.M.; Lötze, E.; Peirs, A.; Scheerlinck, N.; Theron, K.I. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging. Postharvest Biology and Technology 2006, 40, 1–6.
  • Xing, J.; Saeys, W.; Baerdemaeker, J.D. Combination of chemometric tools and image processing for bruise detection on apples. Computers and Electronics in Agriculture 2007, 56, 1–13.
  • Balasundaram, D.; Burks, T.F.; Bulanon, D.M.; Schubert, T.; Lee, W.S. Spectral reflectance characteristics of citrus canker and other peel conditions of grapefruit. Postharvest Biology and Technology 2009, 51, 220–226.
  • Xing, J.; Guyer, D. Comparison of transmittance and reflectance to detect insect infestation in Montmorency tart cherry. Computers and Electronics in Agriculture 2008a, 64, 194–201.
  • Xing, J.; Guyer, D. Detecting internal insect infestation in tart cherry using transmittance spectroscopy. Postharvest Biology and Technology 2008b, 49, 411–416.
  • Xing, J.; Guyer, D.; Ariana, D.; Lu, R. Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry. Sensing and Instrumentation for Food Quality and Safety 2008, 2, 161–167.
  • Chandra, B.S.; Digvir, S.J.; Jitendra, P.; Noel, D.G.W. Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging. Computers and Electronics in Agriculture 2010, 73, 118–125.
  • Mehl, P.M.; Chao, K.; Kim, M.; Chen, Y.R. Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Applied Engineering in Agriculture 2002, 18, 219–226.
  • Xing, J.; Bravo, C.; Jancsók, P.T.; Ramon, H.; Baerdemaeker, J.D. Detecting bruises on “Golden Delicious” apples using hyperspectral imaging with multiple wavebands. Biosystems Engineering 2005, 90, 27–36.
  • ElMasry, G.; Wang, N.; Vigneault, C. Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks. Postharvest Biology and Technology 2009, 52, 1–8.
  • Vargas, A.M.; Kim, M.S.; Tao, Y.; Lefcourt, A.M.; Chen, Y.R.; Luo, Y.; Song, Y.S.; Buchanan, R. Defection of fecal contamination on cantaloupes using hyperspectral fluorescence imagery. Journal of Food Science 2005, 70, 471–476.
  • Rafael, C.G.; Richard, E.W. Digital Image Processing, 2nd Ed; Pearson: London, 2002.
  • Liu, F.; Wang, L.; He, Y. Application of effective wavelengths for variety identification of instant milk teas. Journal of Zhejiang University (Engineering Science) 2010, 44, 619–623.
  • Li, J.B.; Huang, W.Q.; Zhao, C.J.; Zhang, B.H. A comparative study for the quantitative determination of soluble solids content, pH, and firmness of pears by is/NIR spectroscopy. Journal of Food Engineering 2013, 116, 324–332.

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