The Development of Intelligent Green Soybean Selector by Machine Vision. Possibility of Class Selecting Used by Form Information.

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  • SASAKI Yutaka
    The Japanese Society of Agricultural Machinery Faculty of Agriculture, Niigata University
  • SUZUKI Masato
    The Japanese Society of Agricultural Machinery Faculty of Agriculture, Niigata University
  • CHEN Peng
    Department of Mechanical System Engineering, Kyushu Institute of Technology
  • SAITO Tomohiro
    Faculty of Agriculture, Niigata University

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Other Title
  • マシンビジョンによる枝豆の知的選別機の開発　　形状特徴を利用した枝豆の等級選別の可能性
  • マシンビジョン ニ ヨル エダマメ ノ チテキ センベツキ ノ カイハツ ケイジョウ トクチョウ オ リヨウ シタ エダマメ ノ トウキュウ センベツ ノ カノウセイ
  • Possibility of Class Selecting Used by Form Information
  • 形状特徴を利用した枝豆の等級選別の可能性

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Abstract

Grade selection of soybeans due to the disease, sunburn, and grain missing needs great working hours because it depends on person's sight selection. Therefore it is hoping for shortening of the working hours and the increase in efficiency. So, selection machine is made intelligence by using the machine vision, and the realization of improvement in the productivity and labor saving is our goal for the final. It paid attention to the form information of the green soybeans at the first, and the possibility of the grade selection of grain missing was checked by this research. The next result is reported by this paper. 1) It was tested by the amount of form characteristics, and it got that possibility. 2) Genetic programming (GP) was introduced, and the validity was shown in the images of the green soybean that has thee grain.

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