Progress in Agricultural Engineering Sciences
Volume/Issue:
Volume 3: Issue 1
Development of data reduction function for hyperspectral imaging
Author:
Ferenc Firtha Corvinus University of Budapest Physics and Control Department, Faculty of Food Science Somlói út 14-16 H-1118 Budapest Hungary

Search for other papers by Ferenc Firtha in
Current site
Google Scholar
PubMed Close
Pages:
67–88
Online Publication Date:
21 Dec 2007
Publication Date:
01 Dec 2007
Article Category:
Research Article
DOI:
https://doi.org/10.1556/progress.3.2007.4
Keywords:
hyperspectral imaging; calibration; noise; data reduction; carrot; moisture content
Restricted access

Algorithms have been developed for controlling the calibration and the measurement cycles of hyperspectral equipment. Special calibration and preprocessing methods were necessary to obtain suitable signal level and acceptable repeatability of the measurements. Therefore, the effect of the noise of NIR sensor was decreased, the signal level was enhanced and stability was ensured simultaneously. In order to investigate the properties of the number of objects suitable for statistical analysis, the enormous size of acquired hypercube (gigabytes per object) should be reduced by vector-to-scalar mathematical operators in real-time to extract the desired features. The algorithm developed was able to calculate the score of operators during scanning and the matrices were displayed as pseudo-images to show the distribution of the properties on the surface. The operators had to be determined by analysis of a sample set in preliminary experiments. Stored carrot was chosen as a model sample for investigation of the detection of moisture loss by hyperspectral properties. Determination of the proper operator on different tissues could help to analyze and model drying process and to control storage. Hyperspectral data of different carrot cultivars were tested under different storage conditions. Using improved measurement method the spectral parameter of the suitable operator described quite well the moisture loss of the different carrot tissues.

  • Abu-Khalaf, N., Bennedsen, B. S. & Bjørn, G. K. (2004) Distinguishing carrot’s characteristics by near infrared (NIR) reflectance and multivariate data analysis. Agricultural Engineering International: the CIGR Journal of Scientific Research and Development . Manuscript FP 03 012 6:1–17.

  • Champagne, C.M., Staenz, K., Bannari, A., McNairn, H. & Deguise, J-C. (2003) Validation of a hyperspectral curve-fitting model for the estimation of plant water content of agricultural canopies. Remote Sensing of Environment , Volume 87, Issues 2–3, 148–160.

    Deguise J.-C. , 'Validation of a hyperspectral curve-fitting model for the estimation of plant water content of agricultural canopies ' (2003 ) 87 Remote Sensing of Environment : 148 -160 .

    • Search Google Scholar

  • Chan, R. H., Ho, Ch-W. & Nikolova, M. (2005) Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Edge-preserving Regularization. IEEE Transactions on Image Processing , 14 (2005), 1479–1485.

    Nikolova M. , 'Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Edge-preserving Regularization ' (2005 ) 14 IEEE Transactions on Image Processing : 1479 -1485 .

    • Search Google Scholar

  • Cho, B.-K., Chen, Y.-R., Kim, M.S. (2007) Multispectral detection of organic residues on poultry processing plant equipment based on hyperspectral reflectance imaging technique. Computers and Electronics in Agriculture , Volume 57, Issue 2, 177–189.

    Kim M.S. , 'Multispectral detection of organic residues on poultry processing plant equipment based on hyperspectral reflectance imaging technique ' (2007 ) 57 Computers and Electronics in Agriculture : 177 -189 .

    • Search Google Scholar

  • De Belie, N., Pedersen, D. K., Martens, M., Bro R., Munck, L. & Baerdemaeker, J. D. (2003) The Use of Visible and Near-Infrared Reflectance Measurements to assess Sensory Changes in Carrot Texture and Sweetness during Heat Treatment. Biosystems Engineering , Volume 85, Issue 2, 213–225.

    Baerdemaeker J. D. , 'The Use of Visible and Near-Infrared Reflectance Measurements to assess Sensory Changes in Carrot Texture and Sweetness during Heat Treatment ' (2003 ) 85 Biosystems Engineering : 213 -225 .

    • Search Google Scholar

  • Firtha, F., Fekete, A., Kaszab, T., Takács, P., Herold, B., Herppich, W., Borsa, B. Kovács, L. (2006) Analysis of Carrot Drying by Hyperspectral Imaging. EurAgEng 2006, Bonn: Agricultural Engineering for a Better World , poster no 926, fulltext no. 440119580699 (ISBN 3-18-091958-2)

  • Herppich, W. B., Mempel, H., Geyer, M., (1999) Effects of postharvest mechanical and climatic stress on carrot tissue water relations. Postharvest Biology and Technology , Volume 16, Issue 1, 43–49.

    Geyer M. , 'Effects of postharvest mechanical and climatic stress on carrot tissue water relations ' (1999 ) 16 Postharvest Biology and Technology : 43 -49 .

    • Search Google Scholar

  • Hruschka, W. R. (1987) Data analysis: Wavelength selection methods. In Near-Infrared Technology in the Agricultural and Food Industries. 35–55. P. C. Williams and K. H. Norris, eds. St. Paul, Minn.: American Association of Cereal Chemists.

    Hruschka W. R. , '', in Near-Infrared Technology in the Agricultural and Food Industries , (1987 ) -.

  • Jung, A., Kardeván, P. & Tőkei, L. (2006) Hyperspectral technology in vegetation analysis. Progress in Agricultural Engineering Sciences 2, 95–117.

    Tőkei L. , 'Hyperspectral technology in vegetation analysis ' (2006 ) 2 Progress in Agricultural Engineering Sciences : 95 -117 .

    • Search Google Scholar

  • Lawrence, K. C., Park, B., Windham, W. R. & Mao, C. (2003) Calibration of a Pushbroom Hyperspectral Imaging System for Agricultural Inspection. Transactions of the ASAE . Vol. 46(2): 513–521.

    Mao C. , 'Calibration of a Pushbroom Hyperspectral Imaging System for Agricultural Inspection ' (2003 ) 46 Transactions of the ASAE : 513 -521 .

    • Search Google Scholar

  • Lefcout, A. M., Kim, M. S., Chen, Y.-R., Kang, S. (2006) Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples. Computers and Electronics in Agriculture , Volume 54, Issue 1, 22–35.

    Kang S. , 'Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples ' (2006 ) 54 Computers and Electronics in Agriculture : 22 -35 .

    • Search Google Scholar

  • MathSoft (1994) Mathcad Reference Guide. MathSoft Engineering and Education Inc., Cambridge, MA, USA.

    '', in Mathcad Reference Guide , (1994 ) -.

  • Meer, F. & Jong, S. M. (2001) Imaging Spectrometry: Basic Principles and Prospective Application. Remote Sensing and Digital Image Processing , Kluwer Academic Publishers, 2001, Netherlands

    Jong S. M. , '', in Remote Sensing and Digital Image Processing , (2001 ) -.

  • Meer, F. (2004) Analysis of spectral absorption features in hyperspectral imagery. International Journal of Applied Earth Observation and Geoinformation , Volume 5, Issue 1, 55–68.

    Meer F. , 'Analysis of spectral absorption features in hyperspectral imagery ' (2004 ) 5 International Journal of Applied Earth Observation and Geoinformation : 55 -68 .

    • Search Google Scholar

  • Meer, F. (2006) The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery. International Journal of Applied Earth Observation and Geoinformation , Volume 8, Issue 1, 3–17.

    Meer F. , 'The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery ' (2006 ) 8 International Journal of Applied Earth Observation and Geoinformation : 3 -17 .

    • Search Google Scholar

  • Némethy, H. & Fehér M. (2002) Changes in the dry matter and sugar content of nantes type carrots during storage. International Journal of Horticultural Science . Vol. 8. 67–71.

    Fehér M. , 'Changes in the dry matter and sugar content of nantes type carrots during storage ' (2002 ) 8 International Journal of Horticultural Science : 67 -71 .

    • Search Google Scholar

  • Nicolai, B. M., Lötze, E., Peirs, A., Scheerlinck, N., Theron, K. I. (2006) Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging. Postharvest Biology and Technology , Volume 40, Issue 1, 1–6.

    Theron K. I. , 'Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging ' (2006 ) 40 Postharvest Biology and Technology : 1 -6 .

    • Search Google Scholar

  • Ruiz-Lopez, I. I., Cordova, A. V., Rodrıguez-Jimenes, G. C. & Garcıa-Alvarado, M. A. (2004) Moisture and temperature evolution during food drying: effect of variable properties. Journal of Food Engineering 63. 117–124.

    Garcıa-Alvarado M. A. , 'Moisture and temperature evolution during food drying: effect of variable properties ' (2004 ) 63 Journal of Food Engineering : 117 -124 .

    • Search Google Scholar

  • Ryan, M. J. & Arnold, J. A. (1997) Lossy compression of hyperspectral data using vector quantization. Remote Sensing of Environment , Volume 61, Issue 3, 419–436.

    Arnold J. A. , 'Lossy compression of hyperspectral data using vector quantization ' (1997 ) 61 Remote Sensing of Environment : 419 -436 .

    • Search Google Scholar

  • Tsai, F. & Philpot, W. (1998) Derivative analysis of hyperspectral data. Remote Sensing of Environment , Volume 66, Issue 1, 41–51.

    Philpot W. , 'Derivative analysis of hyperspectral data ' (1998 ) 66 Remote Sensing of Environment : 41 -51 .

    • Search Google Scholar

  • Vranic, M., Knezevic, M., Seregély, Zs., Bosnjak, K., Leto, J. & Perculija G. (2005) Prediction of dry matter and crude protein content in fresh grass silage by near infrared spectroscopy. Progress in Agriculture Engineering Sciences 1, 57–75.

    Perculija G. , 'Prediction of dry matter and crude protein content in fresh grass silage by near infrared spectroscopy ' (2005 ) 1 Progress in Agriculture Engineering Sciences : 57 -75 .

    • Search Google Scholar

  • Warner, T. A. & Shank, M. C. (1997). Spatial autocorrelation analysis of hyperspectral imagery for feature selection. Remote Sensing of Environment , Volume 60, Issue 1, 58–70.

    Shank M. C. , 'Spatial autocorrelation analysis of hyperspectral imagery for feature selection ' (1997 ) 60 Remote Sensing of Environment : 58 -70 .

    • Search Google Scholar

  • Xing, J., Saeys, W., Baerdemaeker J. D. (2007). Combination of chemometric tools and image processing for bruise detection on apples. Computers and Electronics in Agriculture , Volume 56, Issue 1, 1–13.

    Baerdemaeker J. D. , 'Combination of chemometric tools and image processing for bruise detection on apples ' (2007 ) 56 Computers and Electronics in Agriculture : 1 -13 .

    • Search Google Scholar

  • Zude, M., Birlouez-Aragon, I., Paschold P.-J., Rutledge, D. N. (2007) Non-invasive spectrophotometric sensing of carrot quality from harvest to consumption. Postharvest Biology and Technology , Volume 45, Issue 1, 30–37.

    Rutledge D. N. , 'Non-invasive spectrophotometric sensing of carrot quality from harvest to consumption ' (2007 ) 45 Postharvest Biology and Technology : 30 -37 .

    • Search Google Scholar
  • Collapse
  • Expand
Cover Progress in Agricultural Engineering Sciences
Progress in Agricultural Engineering Sciences
Print ISSN:
1786-335X
Online ISSN:
1787-0321
Submit Your Manuscript

 

The author instructions are available in PDF.
Please, download the file from HERE

 

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu

Indexing and Abstracting Services:

  • CABI
  • ERIH PLUS
  • SCOPUS

2023  
Scopus  
CiteScore 1.8
CiteScore rank Q2 (General Agricultural and Biological Sciences)
SNIP 0.497
Scimago  
SJR index 0.258
SJR Q rank Q3

Progress in Agricultural Engineering Sciences
Publication Model Hybrid
Submission Fee none
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Article Processing Charge 900 EUR/article (only for OA publications)
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2025 Online subsscription: 173 EUR / 190 USD
Print + online subscription: 200 EUR / 220 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles can be purchased at the prices indicated.

Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation		 2004
Volumes
per Year		 1
Issues
per Year		 1
Founder Magyar Tudományos Akadémia  
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Apr 2024 12 0 0
May 2024 23 0 0
Jun 2024 35 0 0
Jul 2024 12 0 0
Aug 2024 47 0 0
Sep 2024 11 0 0
Oct 2024 0 0 0