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영상처리를 이용한 고구마 자동 선별시스템 개발

Development of an Automatic Sweet Potato Sorting System Using Image Processing

  • Yang G. M. (KSME member, Research Engineer, National Institute of Agricultural Engineering) ;
  • Choi K. H. (KSME member, Research Engineer, National Institute of Agricultural Engineering) ;
  • Cho N. H. (KSME member, Research Engineer, National Institute of Agricultural Engineering) ;
  • Park J. R. (KSME member, Research Engineer, National Institute of Agricultural Engineering)
  • 발행 : 2005.06.01

초록

Grading and sorting an indeterminate form of agricultural products such as sweet potatoes and potatoes are a labor intensive job because its shape and size are various and complicate. It costs a great deal to sort sweet potato in an indeterminate forms. There is a great need for an automatic grader fur the potatoes. Machine vision is the promising solution for this purpose. The optical indices for qualifying weight and appearance quality such as shape, color, defects, etc. were obtained and an on-line sorting system was developed. The results are summarized as follows. Sorting system combined with an on-line inspection device was composed of 5 sections, human inspection, feeding, illumination chamber, image processing & control, and grading & discharging. The algorithms to compute geometrical parameters related to the external guality were developed and implemented for sorting the deformed sweet potatoes. Grading accuracy by image processing was $96.4\%$ and the processing capacity was 10,800 pieces per hour.

키워드

참고문헌

  1. Tanaka F., K. Morita, M. Nishida and T. Sugawara. 2003. Grading and sorting of sweet potato using machine vision. An ASAE Meeting Presentation. Paper No. : 036127
  2. Lee, S. H. 2000. Machine vision system for on-line extraction and quantification of appearance quality factors of apple. Ph.D dissertation, Seoul National Univ
  3. Nakano, K. and K, Takizawa. 1997. Studies on sorting systems for fruits and vegetables, part 2. Development of whole image data collecting system and detection of injured apples. J. Soc. Agr. Structures, Jap. 28(1): pp. 13-20
  4. Noh, S. H., J. W. Lee and I. G. Hwang. 1995. Fruit grading algorithms of multi-purpose fruit grader using black & white image processing system. Journal of the Korean society for agricultural machinery. 20(1): pp. 95-103
  5. Throop, J. A. and W. C. Anger. 2003. Conveyor design for apple orientation. An ASAE Meeting Presentation. Paper No. : 036127

피인용 문헌

  1. Development and Performance Evaluation of Falling-type Dried-Persimmon Weight Sorting System Utilizing Load Cell vol.40, pp.4, 2015, https://doi.org/10.5307/JBE.2015.40.4.327