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Hyperspectral remote sensing involves the acquisition of data in a large number of narrow, contiguous spectral bands, enabling detailed identification and analysis of materials based on their spectral signatures. One of its major applications is in agriculture, where it is used to monitor crop health, assess nutrient stress, detect diseases, and estimate yield. Subtle variations in reflectance related to _________ ___ __________ _________ ________ ___ ___ ___ _________ ___ ________.
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