@techreport{oai:ipsj.ixsq.nii.ac.jp:00178355,
 author = {吉田, 祐太 and 白石, 優旗 and Yuta, Yoshida and Yuhki, Shiraishi},
 issue = {11},
 month = {Mar},
 note = {我々は，農作業従事者の目視による選別作業の負担軽減のため，画像処理を用いて青果物を等階級に分類する装置を開発してきた．本装置は，実用化のため， コンパクトかつ低コストで製造でき，短時間で長楕円体状青果物の撮像及び識別が可能という特徴を持つ．本論文では，識別手法に機械学習の一種である深層学習を用いることで，識別性能の向上を目指す．, We have developed a device for sorting fruits and vegetables into equal classes by using an image processing to reduce the load in the long time visual selection by agricultural workers. The developed device can be produced compactly at a low cost, capture and classify prolate spheroid-shaped fruits and vegetables in short time. In this paper, we aim to improve recognition ratio, using Deep Learning, which is a type of machine learning.},
 title = {長楕円体状青果物高速自動選別システムへの深層学習の適用},
 year = {2017}
}