Hyperspectral estimation on the photosynthetic phenotype of winter wheat under drought stress using machine learning algorithms

Key Points

• Drought stress significantly affects the photosynthetic phenotype of winter wheat, impacting growth.
• Machine learning algorithms provide accurate predictions of these phenotypes using hyperspectral imaging data.
• This observational analysis utilized spectral analysis across various drought conditions to assess plant responses.
• These findings highlight the potential of machine learning for improving drought tolerance assessments in agriculture.