https://scholars.lib.ntu.edu.tw/handle/123456789/438617
標題: | Evaluation of plant seedling water stress using dynamic fluorescence index with blue LED-based fluorescence imaging | 作者: | 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. |
公開日期: | 2010 | 卷: | 72 | 期: | 2 | 起(迄)頁: | 127-133 | 來源出版物: | Computers and Electronics in Agriculture | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/438617 | ISSN: | 01681699 | DOI: | 10.1016/j.compag.2010.03.005 | SDG/關鍵字: | 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 |
顯示於: | 生物機電工程學系 |
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