Development of an Automatic Sweet Potato Sorting System Using Image Processing
2005
Yang, G.M. (National Institute of Agricultural Engineering, Suwon, Republic of Korea), E-mail: [email protected] | Choi, K.H. (National Institute of Agricultural Engineering, Suwon, Republic of Korea) | Cho, N.H. (National Institute of Agricultural Engineering, Suwon, Republic of Korea) | Park, J.R. (National Institute of Agricultural Engineering, Suwon, Republic of Korea)
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.
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