Spectroscopic profiling-based geographic herb identification by neural network with random weights

•NNRW-based machine learning approach for geographic herb identification with Raman and UV spectra.•NNRW uses only 1/10 or 1/100 training/fitting/learning time of mainstream models while maintaining a comparative accuracy.•NNRW is a promising solution to resource-limited applications such as edge computing.