Measuring efficiency of crop cleaners by image analysis

Authors

  • Junming Wang Tennessee State University
  • Frank E. Eaton PhD, Eaton Chile Harvester Inc., New Mexico, USA;
  • Ted W. Sammis PhD, Professor, Department of Plant and Environmental Sciences, New Mexico State University;
  • MeKonnen Gebremichael PhD, Associate Professor, Civil and Environmental Engineering Department, University of Connecticut, Storrs, CT, USA.

Keywords:

cleaner, measuring efficiency, image analysis, separation, chile, pepper, purity, trash

Abstract

?The purity of product from agricultural cleaners (such as chile, cotton, bean, wheat and other crop cleaners) is needed to be measured under various conditions in order to adjust and optimize the machine at the design and improvement stages.? ?The traditional weight-based method of measuring purity is time consuming, and requires much labor. In this study, we used image analysis to measure percent crop cover for the product output to infer the purity. ?Chile cleaner was used as one example machine to compare between Photoshop? and Arcview? software for the analysis of fresh and dry harvest pictures. ?The data collection process is more reproducible and less labor and time consuming than the traditional technique. ?Both software packages provided accurate estimations of purity for both fresh and dry harvest pictures. ?Photoshop? had better accuracy than Arcview? (mean error ratio of 0.016 vs. 0.081 for fresh harvest; and 0.035 vs. 0.114 for dry harvest).

Keywords: cleaner, measuring efficiency, image analysis, separation, chile, pepper, purity, trash

DOI: 10.3965/j.issn.1934-6344.2011.04.034-041

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Citation: Wang J, Eaton F E, Sammis T W, MeKonnen Gebremichael. ?Measuring efficiency of crop cleaners by image analysis. ?Int J Agric & Biol Eng, 2011; 4(4): 34

Author Biography

Junming Wang, Tennessee State University

References

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Published

2012-01-11

How to Cite

Wang, J., Eaton, F. E., Sammis, T. W., & Gebremichael, M. (2012). Measuring efficiency of crop cleaners by image analysis. International Journal of Agricultural and Biological Engineering, 4(4), 34–41. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/543

Issue

Vol. 4 No. 4 (2011): IJABE

Section

Power and Machinery Systems

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