Hyperspectral time-series clustering of microalgal growth kinetics for strain-aware harvest timing
This study presents a data-driven framework that utilizes hyperspectral time-series clustering with Dynamic Time Warping to group microalgal strains by their distinct growth-kinetic behaviors rather than taxonomy, thereby enabling optimized, strain-specific harvest timing.