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Distinction between Sugar Beet and Weeds for Development of Automatic Thinner and Weeding Machine of Sugar Beet

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Pp. 129-136 in Automation Technology for Off-Road Equipment, Proceedings of the July 26-27, 2002 Conference (Chicago, Illinois, USA)  701P0502.(doi:10.13031/2013.10000)
Authors:   M. TERAWAKI, T. KATAOKA, H.OKAMOTO, S. HATA
Keywords:   Binarization, Discriminant analysis, Image processing, Shape characteristics, Sugar beet, Weeds

Abstract: The goal of this study was to develop the automatic thinner and weeding machine for the sugar beet. In this paper, the algorithm of distinction between sugar beet and weeds, which is necessary for the automatic thinner and the weeding machine was discussed. The distinction between the sugar beet and the weeds, the green amaranth, the wild buckwheat and the field horsetail, was tested using the shape characteristics of the leaf and the angle of the leaf tip portion based on the image processing technique. The results of the distinction indicated that the correct distinction rate of the sugar beet was 87.2% and the error rate was less than 8%.

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