Tea cultivar classification and biochemical parameter estimation from hyperspectral imagery obtained by UAV.

ABSTRACT: It is generally feasible to classify different species of vegetation based on remotely sensed images, but identification of different sub-species or even cultivars is uncommon. Tea trees (Camellia sinensis L.) have been proven to show great differences in taste and quality between cultivars. We hypothesize that hyperspectral remote sensing would make it possibly to classify cultivars of plants and even to estimate their taste-related biochemical components. In this study, hyperspectral data of the canopies of tea trees were collected by hyperspectral camera mounted on an unmanned aerial vehicle (UAV). Tea cultivars were classified according to the spectral characteristics of the tea canopies. Furthermore, two major components influencing the taste of tea, tea polyphenols (TP) and amino aci

SUBMITTER: Tu Y 

PROVIDER: S-EPMC5978401 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature