Tracing the geographical origin of forest-sourced medicinal materials by hyperspectral imaging: a critical review for smart forestry
A structured narrative synthesis of the 2015–2026 literature indicates that deep learning architectures—particularly two-dimensional correlation spectroscopy (2DCOS) combined with residual networks—have been reported to achieve 98–100% classification accuracy for several forest-sourced species under controlled laboratory conditions.