Vegetable soybean (edamame) sorting amchine suing image processing

Yang, Y.P. Book author
Wu, G.J. Book author
Chiu, Y.C. Book author

Yi-Lan Department of Biomechatrioic Engineering, National Ilan University Taiwan

2014

p.823-828

EAM0581

Green vegetable soybean (Glycine max), also known as edamame in Japan, is an increasingly popular nutritious food in eastern Asia and the United States. Edamame cultivation is done using advanced power farming systems in Japan. Nevertheless, sorting, the final processing of edamame, is time-consuming: about 12 kg/hr or 48 hr/10a are necessary with manual labor. As a consequence, even though edamame is harvested at the optimal time, 3644% of pods are classified out of grade. Among the classified out of grade, 615% show mechanical damage. Therefore, sorting constitutes the main hurdle associated with edamame cultivation. It impedes the increase of cultivation area and limits profitability. This study investigated performance of an edamame sorting machine using image processing to detect pod damage such as shape and color. The work rates of the type-13 edamame sorting machine developed for this study, 87124 kg/hr, were 10 times higher than manual sorting. The sorting accuracy index (η=ηa+ηb-1) was 0.12, which was 80% inferior to manual sorting. Rates of the damage indexes analyzed using image processing were 0.46 for color and 0.41 for shape, respectively. These values were equal to those for manual sorting for the color damage index and 55% inferior for the shape damage index, respectively.

International symposium on machinery and mechatronics for agricultural and biosystems engineering; Proceedings of the

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