Analysis of Rice Grains Through Digital Image Processing

Authors

  • Kataria Bhavesh  Department of Computer Engineering and Information Technology, LDRP Institute of Technology and Research, Gandhinagar, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRST.RAMAN2181

Keywords:

Aspect Ratio, Chalky, Paddy Rice

Abstract

In the food analysis there are various foodstuffs in the form of grains. Rice is of particular importance being a commodity crop. There are issues in identifying different varieties of rice. Digital imaging approach has been devised in order to investigate different types of characteristics to identify different rice varieties. Four different common rice varieties were used in tests for defining features. These include aspect ratio, length, Chalky and Paddy rice etc. There are different techniques in image processing to analyze rice which shows the dissimilarity between different varieties to a degree that would allow successful identification.

References

  1. J. Lisle, M. Martin, and M. A. Fitzgerald, Chalky and Translucent Rice Grains Differ in Starch Composition and Structure and Cooking Properties, Cereal Chem. 77(5):627-632
  2. D. M. Hobson, R. M. Carter, Y. Yan, Characterisation and Identification of Rice Grains through Digital Image Analysis, Instrumentation and Measurement Technology Conference - IMTC 2007
  3. Xu Lizhang , Li Yaoming, Multi-Scale Edge Detection of Rice Internal Damage Based on Computer Vision, Proceedings of the IEEE International Conference on Automation and Logistics Qingdao, China September 2008
  4. R M Carter, Y. Yan., Digital imaging based classification and authentication of granular food products. Institute of Physics publishing, Measurement Science and Technology V.17, pp.235-240, 2005.
  5. R. M. Carter, PhD Thesis: On-Line measurement of size distribution and volumetric concentration of pneumatically conveyed solids using digital imaging techniques. 2005, University of Kent, UK. 8. R M Carter, Y. Yan., Measurement of particle shape using digital imaging techniques. Journal of Physics Conference Series, V. 15, pp. 177-182, 2005.
  6. Rice Doctor, International Rice Research Institute, Philipines, www.irri.org, 2003.
  7. V. Balasubramanian, A.C. Morales, IRRI, ???Adaptation of the Chlorophyll meter (SPAD) technology for real-time N management in rice???, April, 2000, pp. 4-8.
  8. Xia, Xu; Fan, Chao; Lu, Shu-Jie; Hou, Li-Long, The Analysis of Wheat Appearance Quality Based on Digital Image Processing, 2010 2nd Conference on Environmental Science and Information Application Technology
  9. S. Majumdar and D. S. Jayas, ???Classification of bulk samples of cereal grains using machine vision [J],??? Journal of Agricultural Engineering Research, vol. 73, no. 1, pp. 35-37, 1999
  10. Matsler, A. and T.J. Siebenmorgen. 2005. Evaluation of operating conditions for surface

International Journal of Scientific Research in Science and Technology

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Published

2015-04-26

Issue

Volume 1, Issue 1, March-April-2015

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Kataria Bhavesh, " Analysis of Rice Grains Through Digital Image Processing, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 1, Issue 1, pp.01-03, March-April-2015. Available at doi : https://doi.org/10.32628/IJSRST.RAMAN2181