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  4. Evaluation of plant seedling water stress using dynamic fluorescence index with blue LED-based fluorescence imaging
 
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Evaluation of plant seedling water stress using dynamic fluorescence index with blue LED-based fluorescence imaging

Journal
Computers and Electronics in Agriculture
Journal Volume
72
Journal Issue
2
Pages
127-133
Date Issued
2010
Author(s)
Hsiao S.-C.
Chen S.  
Yang I.-C.
Chen C.-T.
Tsai C.-Y.
Chuang Y.-K.
Wang F.-J.
Chen Y.-L.
Lin T.-S.
Lo Y.M.
DOI
10.1016/j.compag.2010.03.005
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/438617
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-77954865678&doi=10.1016%2fj.compag.2010.03.005&partnerID=40&md5=a417ac737de0b2de938813d1652c1162
Abstract
A dynamic fluorescence image index system capable of non-destructive assessment of water stress in cabbage seedlings was developed. The quenching curves of chlorophyll fluorescence characteristic to the plant's water stress status under reduced excitation energy were acquired via a multispectral imaging system. The dynamic fluorescence index (DFI), a fluorescence index derived from quantitative modeling of the quenching curves in this study, was found superior to conventional indices such as the fluorescence decrease ratio (Rfd) in evaluating water stress status in cabbage seedlings, with respect to due mainly to its significantly reduced measuring time and enhanced precision of the chlorophyll fluorescence responses. The best results of the quantitative model to predict water stress status of seedlings using the dynamic fluorescence index were r= 0.944 and SEE = 0.286. MPa using the 720. nm channel. The blue (460. nm) LED-excited fluorescence multispectral imaging system (FMSIS) coupled with DFI provides a powerful research tool for plant physiology studies as well as for improving greenhouse and agriculture management practices where quantitative assessment of water potential in leafy plants is critical. © 2010 Elsevier B.V.
SDGs

[SDGs]SDG2

Other Subjects
Agriculture management; Blue LEDs; Cabbage seedlings; Chlorophyll fluorescence; Excited fluorescence; Fluorescence image; Fluorescence imaging; Multi-spectral imaging systems; Nondestructive assessment; Plant physiology; Quantitative assessments; Quantitative modeling; Quantitative models; Research tools; Seedling water stress; Water potential; Water stress; Chlorophyll; Damage detection; Forestry; Imaging systems; Plants (botany); Porphyrins; Quenching; Seed; Fluorescence; agricultural management; chlorophyll; fluorescence; greenhouse ecosystem; leafy vegetable; seedling; water stress; Brassica oleracea var. capitata
Type
journal article

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