Optimizing Signal Acquisition and Chemometric Pipelines for Micro NIR Plant Identification: Evaluating Spectral Backgrounds and Data Processing in Herbarium Specimens

AI justification

High-impact scientific breakthrough enabling non-destructive biodiversity monitoring with 99% accuracy. | The study represents a significant advancement in biodiversity science by developing a high-accuracy, non-destructive method for plant species identification. While the protocol is validated on herbarium specimens, its applicability to fresh plants in the field remains untested, limiting immediate ecological impact. The ethical net position is strongly positive due to its alignment with cons