文献
J-GLOBAL ID:201802249025078675
整理番号:18A1869669
ロボット果実と野菜の等級付けシステムのための光学ベース非破壊品質検査の挑戦と解決策:技術的レビュー【JST・京大機械翻訳】
Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review
著者 (6件):
Zhang Baohua
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
,
Gu Baoxing
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
,
Tian Guangzhao
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
,
Zhou Jun
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
,
Huang Jichao
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
,
Xiong Yingjun
(College of Engineering, Nanjing Agricultural University, Nanjing, 210031, Jiangsu, PR China)
資料名:
Trends in Food Science & Technology
(Trends in Food Science & Technology)
巻:
81
ページ:
213-231
発行年:
2018年
JST資料番号:
W0057A
ISSN:
0924-2244
資料種別:
逐次刊行物 (A)
記事区分:
文献レビュー
発行国:
イギリス (GBR)
言語:
英語 (EN)