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

Shih Chieh Hsiao, Suming Chen, I. Chang Yang, Chia Tseng Chen, Chao Yin Tsai, Yung Kun Chuang, Feng Jehng Wang, Yu Liang Chen, Tzong Shyan Lin, Y. Martin Lo

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)127-133
Number of pages7
JournalComputers and Electronics in Agriculture
Issue number2
Publication statusPublished - Jul 2010
Externally publishedYes


  • Chlorophyll fluorescence
  • Fluorescence image
  • Fluorescence index
  • Water stress

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Horticulture
  • Forestry
  • Computer Science Applications
  • Animal Science and Zoology


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