What question did this study set out to answer?

To review and compare destructive laboratory methods and nondestructive field techniques for estimating leaf chlorophyll content across diverse plant species.

March 30, 2023Critical Reviews in Analytical Chemistry

Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency

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To review and compare destructive laboratory methods and nondestructive field techniques for estimating leaf chlorophyll content across diverse plant species.
Synthesized findings from laboratory spectrophotometry, mobile device applications, portable field equipment, and hyperspectral remote sensing systems.
Evaluated the diagnostic performance of over 42 hyperspectral vegetation indices and artificial intelligence regression algorithms.
Arnon's spectrophotometry serves as the standard destructive laboratory technique, whereas handheld devices and mobile apps remain constrained by species-specific calibration models.
Red-edge-based spectral formulations—including the three-band hyperspectral vegetation index, Chlgreen, and Triangular Greenness Index—exhibit the highest generalizability across plant species.
Machine learning regression architectures, particularly Random Forest, Support Vector Machine, and Artificial Neural Networks, show superior estimation performance when paired with hyperspectral data.

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Implication

Review reveals optimal noninvasive chlorophyll estimation methods across diverse plants, highlighting red-edge indices and machine learning models for accurate field monitoring.

Cite This Study

Kandpal et al. (2023) studied this question.

synapsesocial.com/papers/6a727a09e5469ee92be26db4 https://doi.org/10.1080/10408347.2023.2188425

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Implication

Review reveals optimal noninvasive chlorophyll estimation methods across diverse plants, highlighting red-edge indices and machine learning models for accurate field monitoring.

Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency

Key Points

Discussion

Implication

Cite This Study

Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency

Key Points

Discussion

Implication

Cite This Study

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