HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging

Area of Science:

• Plant science
• Spectroscopy
• Remote sensing

Background:

• Current leaf trait assessment relies on limited point measurements.
• Hyperspectral absorption-reflectance-transmittance imaging (HyperART) system developed for whole-leaf analysis.
• Assesses plant traits like disease severity and chlorophyll content.

Purpose of the Study:

• Introduce and validate the HyperART system for non-invasive leaf trait analysis.
• Compare HyperART system data with traditional point spectroradiometer measurements.
• Demonstrate the system's applicability in plant disease and content analysis.

Main Methods:

• Utilizes a hyperspectral imaging system (HyperART) to capture leaf reflectance and transmittance (400-2500 nm).
• Calculates leaf absorption images from reflectance and transmittance data.
• Validates HyperART accuracy against ASD FieldSpec spectroradiometer data.

Main Results:

• HyperART system shows good correlation with high-resolution spectroradiometer data.
• Accurately estimates and monitors leaf chlorophyll content variations and fungal symptoms.
• Improved classification of Cercospora leaf spot disease and chlorophyll content determination.

Conclusions:

• HyperART system enables accurate, non-invasive mapping of leaf transmittance and absorption.
• Expands the application of mapping spectroscopy in plant sciences.
• Facilitates spatio-temporal dynamics analysis of plant properties.