ITHEA® International Journal
"Information Theories and Applications"
2025, Volune 32, Nimber 3
Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants
Hanna Antonova, Volodymyr Hrusha, Anna Kedych, Oleksandra Kovyrova
Copy Citation Text:
H. Antonova, V. Hrusha, A. Kedych, O. Kovyrova, "Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants" IJ ITA, Vol. 32, Issue 3, pp. 267-284. (2025)
DOI: https://doi.org/10.54521/ijita32-03-p05
Abstract:
The paper presents the authors' methodology for conducting studies of chlorophyll fluorescence induction by fluorometers developed at the Institute of Cybernetics of the National Academy of Sciences of Ukraine. The methodology based on a number of experiments conducted at the Institute. It includes the selection of the indicator plant, plant cultivation, conducting of the CFI measurements and data logging, calculation of the CFI curve parameters, graphical and statistical data analysis and application of the neural network approach. Paper will be interesting for specialists in automatization of ecological and agricultural researches that using the effect of chlorophyll fluorescence induction with application statistical and neural network approaches.
© 2025 ITHEA®
ITHEA Journals
- ITHEA has four International Jornals on Informatics.