Prediction of vegetation indices from downsampled hyperspectral data using machine learning: A novel framework for olive crop monitoring

Accurate plant health monitoring relies on hyperspectral imagery to extract vegetation spectral signatures and compute vegetation indices (VIs), which are critical for phenotyping and crop condition assessment. However, the requirement for high spectral r