Measuring efficiency of crop cleaners by image analysis

Junming Wang, Frank E. Eaton, Ted W. Sammis, MeKonnen Gebremichael

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


Keywords


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

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References


Martin, N. Researchers couple chile harvester with improved field cleaners. 2004. http://spectre.nmsu.edu/media/ news2.lasso?i=616.

Blazquez C H, Elliot R A, Edwards G J. Vegetable crop management with remote sensing. PE and RS, 1981; 47: 543-547.

Paruelo J M, Lauenroth W K, Roset P A. Technical note: Estimating aboveground plant biomass using a photographic technique. J. Rangeland Management, 2000; 53(2): 190-193.

Purcell L C. Soybean canopy coverage and light interception measurement using digital imagery. Crop Science, 2000; 40: 834-837.

Richardson M D, Karcher D E, Purcell L C. Quantifying turfgrass cover using digital image analysis. Crop Science, 2001; 41: 1884-1888.

Ewing R P, Horton R. Quantitative color image analysis of agronomic images. Agron. J., 1999; 91: 148–153.




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