The rapid evolution of remote sensing technologies has transformed the monitoring of plant health, providing crucial insights for precision agriculture and environmental management. This paper conducts a comprehensive comparative analysis between the widely utilized Normalized Difference Vegetation Index (NDVI) and advanced Hyperspectral sensors in the context of plant health assessment. The objective is to elucidate the considerations related to spectral resolution. Utilizing a diverse set of vegetative environments, the research employs simulated datasets to assess the efficacy of NDVI and hyperspectral sensors in identifying subtle variations indicative of plant stress, disease, and overall vitality. Through meticulous data analysis and statistical validation, the study underscores the superior performance of hyperspectral sensors across the employed parameters.
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Joshi et al. (2024) studied this question.
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