Abstract

Regional Number of Co-variations in Tea Biological Factors are Identified

Author(s): Abdur Rashid Ahmed*

Chlorophyll and nitrogen content were used as leaf physiological parameters. Based on multispectral imagery from multiple acquisition angles and stoichiometric data of tea leaves (Camellia sinensis) in various locations on the plant, spatial differences in the physiological parameters of tea were studied to study the effects of ground. Full channel difference vegetation indices were determined for objective removal and shadow noise. We then trained a physiological parameter detection model for tea using support vector machines, Random Forests (RF), partial least squares, and backpropagation algorithms from multispectral images of leaf and canopy scales. Finally, we analyzed and compared the detection effects of multispectral images obtained from different viewpoints on the physiological parameters of upper, middle and lower tea leaves. As a result, we found clear spatial differences in physiological parameters of tea leaves in individual plants. Chlorophyll levels were lowest in the top and relatively high in the middle and bottom. Nitrogen levels were highest in the upper part and relatively low in the middle and lower part.