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Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-A Review

by Narendra V G, Hareesh K S
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 1
Year of Publication: 2010
Authors: Narendra V G, Hareesh K S
10.5120/612-863

Narendra V G, Hareesh K S . Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-A Review. International Journal of Computer Applications. 2, 1 ( May 2010), 43-65. DOI=10.5120/612-863

@article{ 10.5120/612-863,
author = { Narendra V G, Hareesh K S },
title = { Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-A Review },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 1 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 43-65 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number1/612-863/ },
doi = { 10.5120/612-863 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:27.068340+05:30
%A Narendra V G
%A Hareesh K S
%T Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 1
%P 43-65
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper presents the recent development and application of image analysis and computer vision system in quality evaluation of products in the field of agricultural and food. It is very much essential to through light on basic concepts and technologies associated with computer vision system, a tool used in image analysis and automated sorting and grading is highlighted.

References
  1. Antonio Carlos Loureiro Lino; Juliana Sanches; Inacio Maria Dal Fabbro, “Image processing techniques for lemons and tomatoes classification”, Journal of Food and Engineering, 83(4), pp. 433–440, 2008.
  2. Ballard, D.A., Brown, C.M.,. “Computer Vision”, Prentice-Hall, Eaglewoood Cliffs, NJ, 1982.
  3. .Batchelor, M.M., Searcy, S.W., “Computer vision determination of stem/root joint on processing carrots.”, Journal of Agricultural Engineering Research 43, pp. 259-269, 1989.
  4. Bato, P.M., Nagata, M., Cao, Q.X., Hiyoshi, K., Kitahara, T., ”Study on sorting system for strawberry using machine vision (part 2): development of sorting system with direction and judgement functions for strawberry (Akihime variety)”, Journal of the Japanese Society of Agricultural Machinery, 62(2), pp. 101-110, 2000.
  5. Baxes, G.A.,”Digital Image Processing Principles and Applications”, Wiley, New York, USA 1994.
  6. Braggins, D., ”How ‘machine vision’ can help drinks production”, Brewing and Distilling International, 31(5), pp. 16-17, 2000.
  7. Daley, W., Carey, R., Thomson, C., ”Real-time colour grading and defect detection of food products”, Optics in agriculture, forestry and biological processing SPIE. The International Society of Optical Engineering 2345, pp. 403-411, 1994.
  8. Davidson, V.J., Ryks, J., Chu, T., ”Fuzzy models to predict consumer ratings for biscuits based on digital features”, IEEE Transactions on Fuzzy Systems, 9(1), pp. 62-67, 2001.
  9. Dewulf, W., Jancsok, P., Nicolai, B., De Roeck, G., Briassoulis, D., ”Determining the firmness of a pear using finite element model analysis”, Journal of Agricultural Engineering Research, 74 (3), pp. 217-224, 1999.
  10. Federico Hahn,”Automatic Jalapeno Chilli Grading by Width”, Biosystems Engineering, 83(4), pp. 433–440, 2002.
  11. Fermando Mendoza, Petr Dejmek and Jose M Agullera, “Colour and image texture analysis in classification of commercial of commercial potato chips”, Food Research International Vol. 40(9), pp. 1146-1154, 2007.
  12. Gerrard, D.E., Gao, X., Tan, J., “Beef marbling and colour score determination by image processing “, Journal of Food Science, 61(1), pp. 145-148, 1996.
  13. Ghazanfari, A., Irudayaraj, J., Kusalik, A.,”Grading pistachio nuts using a neural network approach” Transactions of the ASAE, 39(6), pp. 2319-2324, 1996.
  14. Gunasekaran, D.K., “Shape feature extraction and classification of food material using computer vision”, Transactions of the ASAE, 37(5), pp. 1537-1545, 1994.
  15. Gunasekaran, S., “Computer vision technology for food quality assurance”, Trends in Food Science and Technology, 7(8), pp. 245-256, 1996.
  16. Gunasekaran, S., “Non-destructive Food Evaluation Techniques to Analyze Properties and Quality”, Food Science and Technology Series. Marcel Dekker, New York, pp. 105, 2001.
  17. Gunasekaran, S., Ding, K., “Using computer vision for food quality evaluation”, Food Technology 6, pp. 151-154, 1993.
  18. Gunasekaran, S., Ding, K., “Three-dimensional characteristics of fat globules in cheddar cheese”, Journal of Dairy Science 82, pp.1890-1896, 1999.
  19. Heinemann, P.H., Hughes, R., Morrow, C.T., Sommer, H.J., Beelman, R.B., Wuest, P.J., “Grading of mushrooms using a machine vision system”, Transactions of the ASAE, 37(5), pp. 1671-1677, 1994.
  20. Heinemann, P.H., Varghese, Z.A., Morrow, C.T., Sommer, H.J., III, Crassweller, R.M., “Machine vision inspection of Golden Delicious apples”, Applied Engineering in Agriculture Transactions of the ASAE, 11 (6), pp. 901-906, 1995.
  21. Howarth, M.S., Searcy, S.W., “Inspection of fresh carrots by machine vision”, In: Food Processing Automation II Proceedings of the 1992 Conference. ASAE, 2950 Niles Road, St. Joseph, MI 4, pp. 9085- 9659, USA, 1992.
  22. J. Blasco, S. Cubero, J. Gómez-Sanchís, P. Mira, E. Moltó, “Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision”, Journal of Food Engineering, 90, pp. 27–34, 2009.
  23. Jamieson, V., “Physics reises food standards”, Physics World, 1, pp. 21-22, 2002.
  24. Kanali, C., Murase, H., Honami, N., ”Three-dimensional shape recognition using a chargesimulation method to process image features”, Journal of Agricultural Engineering Research, 70, pp. 195-208, 1998.
  25. Kondo, N., “Quality evaluation of orange fruit using neural networks”, In: Food Processing Automation IV Proceedings of the FPAC Conference. ASAE, 2950 Niles Road, St. Joseph, MI 4 9085-9659, USA, 1995.
  26. Kondo, N., Nishitsuji, Y., Ling, P.P., Ting, K.C., ”Visual feedback guided robotic cherry tomato harvesting”, Transactions of the ASAE, 39(6), pp. 2331-2338, 1996.
  27. Krutz, G.W., Gibson, H.G., Cassens, D.L., Zhang, M., ”Colour vision in forest and wood engineering”, Landwards, 55, pp. 2-9, 2000.
  28. Leemans, V., Magein, H., Destain, M.F., “Defects segmentation on ‘Golden Delicious’ apples by using colour machine vision”, Computers and Electronics in Agriculture 20, pp. 117-130, 1998.
  29. Lefebvre, M., Gil, S., Brunet, D., Natonek, E., Baur, C., Gugeril, P., Pun, T., “Computer vision and agricultural robotics for disease control: the potato operation”, Computers and Electronics in Agriculture 9, pp. 85-102, 1993.
  30. Li, J., Tan, J., Martz, F.A., “Predicting beef tenderness from image texture features”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973124, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  31. Ling, P.P., Ruzhitsky, V.N., ”Machine vision techniques for measuring the canopy of tomato seedling”, Journal of Agricultural Engineering Research, 65, pp. 85 –95, 1996.
  32. Liu, J., Paulsen, M.R., “Corn whiteness measurement and classification using machine vision”, In:1997 ASAE Annual International Meeting, Technical Papers, Paper No. 973045, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  33. Liu, W., Tao, Y., Siebenmorgen, T.J., Chen, H., “Digital image analysis method for rapid measurement of rice degree of milling”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973028, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  34. Lloyd, B.J., Cnossen, A.G., Siebenmorgen, T.J., “Evaluation of two methods for separating head rice from brokens for head rice yield determination”, In: 2000 ASAE Annual International Meeting, Paper No. 006074 ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 2000.
  35. Locht, P., Thomsen, K., Mikkelsen, P., ”Full colour image analysis as a tool for quality control and process development in the food industry”, Paper No. 973006, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  36. Lu, J., Tan, J., Gerrard, D.E., “Pork quality evaluation by image processing”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973125, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  37. Lu, J., Tan, J., Shatadal, P., Gerrard, D.E., “Evaluation of pork colour by using computer vision”, Meat Science 56, pp. 57-60, 2000.
  38. M.A. Shahin and S.J. Symons, “A machine vision system for grading lentils”, Canadian Biosystems engineering Vol. 43 2001.
  39. Majid Rashidi and Keyvan Seyfi, “Classification of Fruit Shape in Kiwifruit Applying the Analysis of Outer Dimensions”, International Journal of Agriculture and Biology 1560-8530/09-5-759-762, 2007.
  40. Majumdar, S., Jayas, D.S., Bulley, N.R., “Classification of cereal grains using machine vision, part 1: Morphological features”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973101, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  41. McDonald, T., Chen, Y.R., “Separating connected muscle tissues in images of beef carcass rib eyes”, Transactions of the ASAE, 33(6), pp. 2059-2065, 1990.
  42. Meftah Salem M Alfantni, Abdul Rashid Mohamed shariff, Helmi Zulhaidi Mohd Shafri, Osama M Ben Saaed and Omar M Eshanta, “Oil Palm Fruit Bunch Grading System Using Red, Green and Blue Digital Number”, Journal of Applied Sciences 8(8), pp. 1444 –1452, 2008.
  43. Miller, M.K., Delwiche, M.J., “A colour vision system for peach grading”, Transaction of the ASAE, 32 (4), pp. 1484 -1490. 1989.
  44. Molto, E., Blasco, J., Steinmetz, V., Bourley, A., Navarron, F., Pertotto, G., “A robotics solution for automatic handling, inspection and packing of fruits and vegetables”, Proceedings of the International Workshop on Robotics and Automated Machinery for Bio-productions. BioRobotics’97, Grandia, Valencia, Spain, 1997.
  45. Morimoto, T., Takeuchi, T., Miyata, H., Hashimoto, Y., “Pattern recognition of fruit shape based on the concept of chaos and neural networks”, Computers and Electronics in Agriculture, 26, 171-186, 2000.
  46. Morrow, C.T., Heinemann, P.H., Sommer, H.J., Tao, Y., Varghese, Z., “Automate inspection of potatoes, apples, and mushrooms”, In Proceedings of the International Advanced Robotics Programme, Avignon, France, pp. 179-188, 1990.
  47. Nagata, M., Cao, Q., Bato, P.M., Shrestha, B.P., Kinoshita, O., “Basic study on strawberry sorting system in Japan”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973095, ASAE, 2950 Niles Road, St. Joseph, Michigan 49085-9659, USA,1997.
  48. Nair, M., Jayas, D.S., Bulley, N.R., “Dockage identification in wheat using machine vision”, 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973043, ASAE, 2950 Niles Road, St. Joseph, Michigan 49085-9659, USA,1997.
  49. Ng, H.F., Wilcke, W.F., Morey, R.V., Lang, J.P., “Machine vision evaluation of corn kernel mechanical and mould damage”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973047, ASAE, 2950 Niles Road, St. Joseph, Michigan 4 9085-9659, USA, 1997.
  50. Ni, H., Gunasekaran, S., “A computer vision system for determining quality of cheese shreds”, In: Food Processing Automation IV Proceedings of the FPAC Conference. ASAE, 2950 Niles Road, St. Joseph, Michigan 49085-9659, USA, 1995.
  51. Ni, B., Paulsen, M.R., Reid, J.F., “Size grading of corn kernels with machine vision”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973046, ASAE, 2950 Niles Road, St.Joseph, Michigan 49085-9659, USA, 1997a.
  52. Ni, B., Paulsen, M.R., Liao, K., Reid, J.F., “Design of an automated corn kernel inspection system for machine vision”, Transactions of the ASAE, 40(2), pp. 491-497, 1997b.
  53. Nielsen, H.M., Paul, W., Munack, A., Tantau, H.J., “Modelling image processing parameters and consumer aspects for tomato quality grading”, In: Mathematical and Control Application in Agriculture and Horticulture, Proceedings of the Third IFAC Workshop, Pergamon/Elsevier, Oxford, UK, 1998.
  54. Park, B., Chen, Y.R., “Co-occurrence matrix texture features of multi spectral images on poultry carcasses”, Journal of Agricultural Engineering Research, 78(2), pp. 127-139, 2001.
  55. Park, B., Chen, Y.R., Nguyen, M., Hwang, H., “Characterising multispectral images of tumorous, bruised, skin-torn, and wholesome poultry carcasses”, Transactions of the ASAE, 39(5), pp. 1933-1941, 1996.
  56. Paulo Cortez, Manuel Portelinha, “Lamb Meat Quality Assessment by Support Vector Machines”, Neural Processing Letters, Springer, In press, ISSN:1370-4621, 2006.
  57. Paulus, I., Schrevens, E., “ Shape characterization of new apple cultivars by Fourier expansion of digital images”, Journal of Agricultural Engineering Research, 72, pp. 113-11, 1999.
  58. Paulus, I., De Busschers, R, Schrevens, E., “Use of image analysis to investigate human quality classification of apples”, Journal of Agricultural Engineering Research, 68, pp. 341-353, 1997.
  59. Pearson, T., Toyofuku, N., “Automated sorting of pistachio nuts with closed shells”, Applied Engineering in Agriculture, 16(1), pp. 91-94, 2000.
  60. Pearson, T.C., Slaughter, D.C., “Machine vision detection of early split pistachio nuts”, Transactions of the ASAE, 39(3), pp. 1203-1207, 1996.
  61. Pla, F., Juste, F., Ferri, F., Vicens, M., “Colour segmentation based on a light reflection model to locate citrus fruits for robotic harvesting”, Computers and Electronics in Agriculture, 9, pp. 53-70, 1993.
  62. Reed, J.N., Crook, S., He, W., ”Harvesting mushrooms by robot”, In: Elliott, T.J. (Ed.), Science and Cultivation of Edible Fung,. Balkema, Rotterdam, pp. 385-391, 1995.
  63. Ruan, R., Ning, S., Ning, A., Jones, R., Chen, P.L., “Estimation of scabby wheat incident rate using machine vision and neural network”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973042, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  64. Ruiz, L.A., Molto, E., Juste, F., Pla, F., Valiente, R., “Location and characterization of the stem calyx area on oranges by computer vision”, Journal of Agricultural Engineering Research, 64, pp. 165-172, 1996.
  65. Sapirstein, H.D., “Quality control in commercial baking: Machine vision inspection of crumb grain in bread and cake products”, In: Food Processing Automation IV Proceedings of the FPAC Conference, ASAE, 2950 Niles Road, St. Joseph, Michigan 49085-9659, USA, 1995.
  66. Sergeant, D., Boyle, R., Forbes, M., “Computer visual tracking of poultry”, Computers and Electronics in Agriculture, 21, pp. 1-18, 1998.
  67. Shearer, S.A., Payne, F.A., “Colour and defect sorting of bell peppers using machine vision”, Transactions of the ASAE, 33 (6), pp. 2045-2050, 1990.
  68. Slamet Riyadi, Ashrani A. Abd, Rahni Mohd, Marzuki Mustafa, and Aini Hussain, Member, “Shape Characteristics Analysis for Papaya Size Classification”, The 5th Student Conference on Research and Development-SCOReD 2007.
  69. Sistler, F.E., “Machine vision techniques for grading and sorting agricultural products”, Postharvest News and Information, 2(2), pp. 81-84, 1991.
  70. Sonka, M, Hlavac, V, Boyle, R., “Image Processing, Analysis, and Machine Vision”, PWS publishing, California, USA, 1999.
  71. Steenhoek, L., Precetti, C., “Vision sizing of seed corn”, In: 2000 ASAE Annual International Meeting, Paper No. 003095 ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 2000.
  72. Steinmetz, V., Roger, J.M., Molto, E., Blasco, J., “On-line fusion of colour camera and spectrophotometer for sugar content prediction of apples”, Journal of Agricultural Engineering Research, 73, pp. 207-216, 1999.
  73. Sun, D.-W., “Inspecting pizza topping percentage and distribution by a computer vision method”, Journal of Food Engineering, 44, pp. 245-249, 2000.
  74. Tadhg Brosnan, Da-Wen Sun, “Inspection and grading of agricultural and food products by computer vision systems-/a review”, Computers and Electronics in Agriculture, 36, pp. 193-213, 2002.
  75. Tao, Y., Heinemann, P.H., Varghese, Z., Morrow, C.T., Sommer, H.J., “III, Machine vision for colour inspection of potatoes and apples”, Transactions of the ASAE, 38(5), pp. 1555-1561, 1995a.
  76. Tao, Y., Morrow, C.T., Heinemann, P.H., Sommer, H.J., ”Fourier based separation techniques for shape grading of potatoes using machine vision”, Transactions of the ASAE, 38(3), pp. 949-957, 1995b.
  77. Tarbell, K.A., Reid, J.F., “A computer vision system for characterizing corn growth and development”, Transactions of the ASAE, 34(5), pp. 2245-2249, 1991.
  78. Tillett, R.D., “Image analysis for agricultural processes”, Division Note DN 1585, Silsoe Research Institute, 1990.
  79. Tillett, N.D., Hague, T., “Computer vision based hoe guidance for cereals-an initial trial”, Journal of Agricultural Engineering Research, 74, pp. 225-236, 1999.
  80. Timmermans, A.J.M., “Computer vision system for on-line sorting of pot plants based on learning techniques”, Acta Horticulture, 421, pp. 91-98, 1998.
  81. Tollner, E.W., Shahin, M.A., Maw, B.W., Gilaitis, R.D., Summer, D.R., “Classification of onions based on internal defects using imaging processing and neural network techniques”, In: 1999 ASEA International Meeting, Toronto, Onteroi, Paper no. 993165, ASAF, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1999.
  82. Van Loon, P.C.C., “Het bepalen van het ontwikkelingsstadium bij dechampignon met computer beeldanalyse”, Champignoncultuur, 40(9), pp. 347-353, 1996.
  83. Vi´zha´nyo´ , T., Tillett, R.D., “Analysis of mushroom spectral characteristics”, Proceedings of AgEng’98 International Conference on Agricultural Engineering, Oslo, pp. 24-27, Paper No. 98-F08019981-7, August 1998.
  84. Vi´zha´nyo´ , T., Felfoldi, J., “Enhancing colour differences in images of diseased mushrooms”, Computers and Electronics in Agriculture, 26, pp. 187-198, 2000.
  85. Wan, Y.N., Lin, C.M., Chiou, J.F., “Adaptive classification method for an automatic grain quality inspection system using machine vision and neural network”, In: 2000 ASAE Annual International Meeting, Paper No. 003094 ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 2000.
  86. Wang, H.-H., Sun, D.-W., “Evaluation of the functional properties of cheddar cheese using a computer vision method”, Journal of Food Engineering, 49(1), pp. 47-51, 2001.
  87. Wang, H.-H., Sun, D.-W., “Melting characteristics of cheese: analysis of effects of cooking conditions using computer vision techniques”, Journal of Food Engineering, 52(3), pp. 279-284, 2002a.
  88. Wang, H.-H., Sun, D.-W., “Correlation between cheese meltability determined with a computer vision method and with Arnott and Schreiber”, Journal of Food Science, 67(2), pp. 745-749, 2002b.
  89. Warren, D.E., “Image analysis research at NIAB: chrysanthemum leaf shape”, Plant Varieties and Seeds 10, pp. 59-61, 1997.
  90. Williams, A.L., Heinemann, P.H., “Detection, tracking, and selection of mushrooms for harvest using image analysis”, In ASAE Annual International Meeting, Orlando, FL, USA, pp. 12-16, ASAE Paper no. 983041, July 1998.
  91. Wooten, J.R., White, J.G., Thomasson, J.A., Thompson, P.G., “Yield and quality monitor for sweet potato with machine vision”, In: 2000 ASAE Annual International Meeting, Paper No. 001123, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 2000.
  92. Xie, W., Paulsen, M.R., “Machine vision detection of tetrazolium in corn”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973044, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  93. Yang, Q., “An approach to apple surface feature detection by machine vision”, Computers and Electronics in Agriculture 11, pp. 249-264, 1994.
  94. Yang, Q., “Apple stem and calyx identification with machine vision”, Journal of Agricultural Engineering Research 63, pp. 229-236, 1996.
  95. Yang, Q., Marchant, J.A., “Accurate blemish detection with active contour models”, Computers and Electronics in Agriculture 14, pp. 77-89, 1995.
  96. Yin, H., Panigrahi, S., “Image processing techniques for internal texture evaluation of French fries”, In: 1997 ASAE Annual International Meeting Technical Papers, Paper No. 973127, ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659, USA, 1997.
  97. Zaid Abdullah, M., Abdul Aziz, S., Dos-Mohamed, AM., “Quality inspection of bakery products using a colour-based machine vision system”, Journal of Food Quality, 23(1), pp. 39-50, 2000.
  98. Zayas, I., Pomeranz, Y., Lai, F.S., “Discrimination of wheat and nonwheat components in grain samples by image analysis”, Cereal Chemistry, 66(3), pp. 233-237, 1989.
  99. Zayas, I.Y., Martin, C.R., Steele, J.L., Katsevich, A., “Wheat classification using image analysis and crush force parameters”, Transactions of the ASAE 39 (6), pp. 2199-2204, 1996.
  100. Zhang, N., Chaisattapagon, C., “Effective criteria for weed identification in wheat fields using machine vision”, Transactions of the ASAE, 38(3), 965-974, 1995.
  101. Zhang, T., Deng, J.Z., “Application of computer vision to detection bruising on pears”, Transactions of the Chinese Society of Agricultural Engineering, 15(1), pp. 205-209, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Quality Grading and Sorting Computer vision System Agricultural and Food Products Image analysis and Processing

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