Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants

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.

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Publication Details

Journal
Information Theories and Applications
Published
2025-08-08
DOI
https://doi.org/10.54521/ijita32-03-p05
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants

Anna Kedych, Volodymyr Hrusha, Hanna Antonova, Oleksandra Kovyrova
Information Theories and Applications
Water Quality Monitoring and Analysis
article

Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants

Anna Kedych, Volodymyr Hrusha, Hanna Antonova, Oleksandra Kovyrova
article en

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.

Information Theories and ApplicationsVol. 32(3)
V.M. Glushkov Institute of Cybernetics (UA)
Openalex Percentile: Top 75%
Water Quality Monitoring and Analysis
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Methodology for Diagnosis of State of Plants Using Chlorophyll Fluorescence Induction of Test Plants — Anna Kedych, Volodymyr Hrusha, et al. · Information Theories and Applications (2025) | TGRS Research Map | TGRS