文献
J-GLOBAL ID:202202226766635981
整理番号:22A0943028
ハイパースペクトルイメージングによるリンゴ品質および成熟度の非破壊および現場推定【JST・京大機械翻訳】
Non-destructive and in-site estimation of apple quality and maturity by hyperspectral imaging
著者 (7件):
Wang Fan
(School of Technology, Beijing Forestry University, Beijing, 100083, China)
,
Wang Fan
(Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China)
,
Zhao Chunjiang
(Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China)
,
Yang Hao
(Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China)
,
Jiang Hongzhe
(College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, China)
,
Li Long
(Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, 100193, China)
,
Yang Guijun
(Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China)
資料名:
Computers and Electronics in Agriculture
(Computers and Electronics in Agriculture)
巻:
195
ページ:
Null
発行年:
2022年
JST資料番号:
T0337A
ISSN:
0168-1699
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)