文献
J-GLOBAL ID:202202279614318358
整理番号:22A0943005
ジャガイモ葉中のクロロフィル含量の検出のための深層学習支援連続ウェーブレット変換に基づくスペクトログラム【JST・京大機械翻訳】
Deep learning assisted continuous wavelet transform-based spectrogram for the detection of chlorophyll content in potato leaves
著者 (10件):
Zhao Ruomei
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
An Lulu
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
Tang Weijie
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
Gao Dehua
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
Qiao Lang
(Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China)
,
Li Minzan
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
Li Minzan
(Yantai Institute of China Agricultural University, Shandong Province 264670, China)
,
Sun Hong
(Key Lab of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, PR China)
,
Sun Hong
(Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China)
,
Qiao Jinbo
(Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, 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)