Article

Application of machine learning models to predict secondary metabolites for the first time in the valuable medicinal plant (Dracocephalum moldavica L.)

2025-03-17

Abstract excerpt

<title>Abstract</title> <p>Background The aim of this project was to predict, for the first time, the levels of important secondary metabolites during stress in medicinal plants, including carotenoids, amino acid proline, and soluble sugars, without the use of expensive and dangerous chemicals for humans. For this project, artificial neural network models including radial basis function (RBF) and multilayer perc...

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Literature Corpus work: 3f9f16cd-0ed1-5d87-ad2e-73e25d617367
DOI: 10.21203/rs.3.rs-6105806/v1

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Application of machine learning models to predict secondary metabolites for the first time in the valuable medicinal plant (Dracocephalum moldavica L.)DOI 10.21203/rs.3.rs-6105806/v1Read

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