Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques.

ABSTRACT: Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment of plant properties, including the quantification of phytochemical contents. Traditional methods for antioxidant analysis in holy basil (Ocimum tenuiflorum L.) are time-consuming, while hyperspectral imaging has the potential to rapidly observe holy basil. In this study, we employed hyperspectral imaging combined with machine learning techniques to determine the levels of total phenolic contents in Thai holy basil. Spectral data were acquired from 26 holy basil cultivars at different growth stages, and the total phenolic contents of the samples were measured. To extract the characteristics of the spectral data, we used 22 statistical features in both time and frequency domains. Relevant features were se

SUBMITTER: Suratanee A 

PROVIDER: S-EPMC11446419 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature