Cost-effective colour feature-based rapid prediction of secondary metabolites in Dendrobium nobile with insights from MALDI-MSI and transcriptomic analysis.
A novel rapid assessment approach was developed by integrating colour features with a stacked ensemble machine learning model, which demonstrated superior efficiency and cost-effectiveness compared with traditional methods and revealed the potential association mechanism among colours, metabolites, and genes of D. nobi...