文献
J-GLOBAL ID:201702248613272746
整理番号:17A0369597
SIMCA支援CFSアルゴリズムに基づく昆虫感染トマトの検出のための最適波長の選択【Powered by NICT】
Selecting optimal wavelengths for detection of insect infested tomatoes based on SIMCA-aided CFS algorithm
著者 (3件):
Mireei Seyed Ahmad
(Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)
,
Amini-Pozveh Samaneh
(Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)
,
Nazeri Majid
(Department of Laser and Photonics, Faculty of Physics, University of Kashan, Kashan 87317-53153, Iran)
資料名:
Postharvest Biology and Technology
(Postharvest Biology and Technology)
巻:
123
ページ:
22-32
発行年:
2017年
JST資料番号:
W1912A
ISSN:
0925-5214
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)