Hyperspectral remote sensing is an advanced technique of remote sensing that collects information about objects and surfaces in numerous narrow and continuous spectral bands. Unlike traditional multispectral remote sensing, which records data in a limited number of broad spectral bands, hyperspectral sensors capture hundreds of spectral bands across the electromagnetic spectrum. This detailed spectral information helps in identifying and analyzing materials based on their unique spectral signatures. Due to its high spectral resolution, hyperspectral remote sensing has become an important tool in various fields such as agriculture, environmental studies, geology, urban planning, and defense. One of the major applications of hyperspectral remote sensing is in agriculture and crop monitoring. Different crops and vegetation types reflect and absorb electromagnetic energy differently, allowing hyperspectral sensors to identify crop species, assess plant health, and detect diseases at an early stage. It is used to monitor nutrient deficiencies, water stress, pest infestations, and crop growth conditions. Hyperspectral data helps farmers adopt precision agriculture techniques