文献
J-GLOBAL ID:202102279669880069
整理番号:21A0153692
キャノピーテクスチャ記述子に基づく水生レタス成長段階分類のためのハイブリッドツリー-ファジィ論理【JST・京大機械翻訳】
Hybrid Tree-Fuzzy Logic for Aquaponic Lettuce Growth Stage Classification Based on Canopy Texture Descriptors
著者 (10件):
Tobias Rogelio Ruzcko
(De La Salle University-Manila,Electronics Engineering Asia Pacific College,Metro Manila,Philippines)
,
Ervin Mital Matt
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Concepcion Ronnie
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Lauguico Sandy
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Alejandrino Jonnel
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Montante Samboy Jim
(Asia Pacific College,School of Engineering-Electronics Engineering,Makati,Philippines)
,
Rhay Vicerra Ryan
(De La Salle University,Manufacturing Engineering and Management Department,Manila,Philippines)
,
Bandala Argel
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Sybingco Edwin
(De La Salle University,Electronics and Communications Engineering Department,Manila,Philippines)
,
Dadios Elmer
(De La Salle University,Manufacturing Engineering and Management Department,Manila,Philippines)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
TENCON
ページ:
1075-1080
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)