This paper explores using hyper spectral photo evaluation to discover and characterize weed species inside agricultural landscapes. By using excessive-decision hyperspectral imaging, the specific spectral fingerprints of the different weed species attempting to penetrate the crop canopy can be diagnosed. This fact can then be compared to spectral libraries for the precise identity of the weed species gift. With these spectral facts, researchers can map the spread of weeds, understand the composition of weed species present, and verify weed responses to exceptional farming strategies or weather changes. This information can then assist in the development of extra effective and selective weed management strategies in agriculture. In conclusion, hyperspectral picture analysis may provide a treasured tool for characterizing and dealing with weed species within agricultural landscapes.