For plant age, plant growth stage, and bush health, the most appropriate was the blue region. The most appropriate band for discriminating different plant types of tea for both in sunlit and nonsunlit conditions was found to be the green region.
To recognize the most suitable bands for retrieving these factors, a stepwise discriminant examination and a primary component analysis were conducted.
(2016) performed a field hyperspectral data analysis of tea plantations for discriminating spectral behavior in regards to type, plant age, stage growth, pruning status, light conditions, and disease incidence ( Fig. For crop stress studies, the optimum bandwidth is 25 nm in the regions of 500–700 and 800–900 nm. (2007) recommended that in the red edge and NIR regions, the optimum bandwidth is 5–10 nm. In a comparison between RS techniques and direct field techniques, RS techniques were found to be more efficient in terms of time, they are nondestructive, and deliver spatial quantification and monitoring attributes of agricultural crops. Leaf biochemical characteristics estimation such as the levels of chlorophyll and nitrogen help in the assessment of available nutrients as well as plant productivity status and stress. As such, they are significant for crop studies. Hyperspectral (narrow band) indices have been discovered to be essential for providing biochemical and biophysical attribute quantification and monitoring.
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