DeepHSI: A transferable and expandable hyperspectral framework for industrial plant origin identification: A case study of Pogostemon cablin (Blanco) Benth

Key Points

• The framework allows for effective identification of Pogostemon cablin from hyperspectral data, enhancing accuracy and efficiency.
• Key evidence includes a success rate indicating robust performance in distinguishing plant origins.
• Analysis utilizes deep learning techniques for feature extraction and classification of hyperspectral images.
• This method calls for further exploration in diverse industrial applications, emphasizing its transformative potential.