文献
J-GLOBAL ID:202202233944111441
整理番号:22A0893661
改良された残留ネットワークによるリンゴ葉病認識方法【JST・京大機械翻訳】
Apple leaf disease recognition method with improved residual network
著者 (7件):
Yu Helong
(College of Information Technology, Jilin Agricultural University, Changchun, China)
,
Cheng Xianhe
(College of Information Technology, Jilin Agricultural University, Changchun, China)
,
Chen Chengcheng
(College of Computer Science and Technology, Jilin University, Changchun, China)
,
Heidari Ali Asghar
(Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China)
,
Liu Jiawen
(College of Information Technology, Jilin Agricultural University, Changchun, China)
,
Cai Zhennao
(Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China)
,
Chen Huiling
(Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China)
資料名:
Multimedia Tools and Applications
(Multimedia Tools and Applications)
巻:
81
号:
6
ページ:
7759-7782
発行年:
2022年
JST資料番号:
W1102A
ISSN:
1380-7501
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)