Hyperspectral imaging is a technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging methods that capture data in just three bands (red, green, blue), hyperspectral imaging captures data in hundreds or even thousands of narrow spectral bands. This allows for the identification and characterization of materials based on their unique spectral signatures, making it a powerful tool for a wide range of applications including remote sensing, agriculture, environmental monitoring, and medical imaging. Hyperspectral imaging has the potential to provide valuable insights and improve decision-making in various fields by enhancing the ability to analyze and interpret complex datasets.