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Low-Cost Chlorophyll Fluorescence Imaging for Stress Detection
Reeve Legendre1, Nicholas T Basinger2, Marc W van Iersel1
1Department of Horticulture, University of Georgia, Athens, GA 30602, USA.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
A simple chlorophyll fluorescence imaging (CFI) system detects plant stress before visible signs appear. This low-cost method correlates with photosynthetic efficiency, offering a promising tool for early stress detection in plants.
Area of Science:
- Plant physiology
- Photosynthesis research
- Stress detection in plants
Background:
- Chlorophyll fluorescence imaging (CFI) is vital for measuring plant photosynthetic efficiency.
- Conventional CFI systems often rely on complex and expensive pulse amplitude modulation (PAM) fluorometry.
- Early detection of biotic and abiotic stress is crucial for plant health management.
Purpose of the Study:
- To evaluate a simplified CFI system that bypasses the need for PAM fluorometry.
- To assess the system's ability to detect herbicide-induced stress.
- To correlate CFI image intensity with photosynthetic efficiency and stress indicators.
Main Methods:
- A simple CFI system was employed, imaging plant fluorescence without PAM fluorometry.
- Atrazine herbicide was applied to induce stress in plants.
- CFI images were captured alongside data from a PAM fluorometer and leaf reflectometer.
- Pixel intensity from CFI images was analyzed for correlations with photosynthetic efficiency (ΦPSII) and reflectance.
Main Results:
- CFI image pixel intensity showed a significant negative correlation with photosystem II quantum yield (ΦPSII).
- Image intensity positively correlated with reflectance in the chlorophyll fluorescence emission spectrum.
- A novel fluorescence-based stress index, derived from reflectometer data, correlated strongly with ΦPSII.
Conclusions:
- Simple, low-cost CFI can effectively detect herbicide-induced stress in plants.
- This method identifies stress prior to the onset of visible symptoms.
- The developed CFI technique offers a practical alternative for monitoring plant health and stress responses.

