TY - JOUR AU - Saffariha, Maryam AU - Jahani, Ali AU - Jahani, Reza AU - Latif, Sajid PY - 2021 DA - 2021/01/26 TI - Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks JO - Plant Methods SP - 10 VL - 17 IS - 1 AB - Hypericum is an important genus in the family Hypericaceae, which includes 484 species. This genus has been grown in temperate regions and used for treating wounds, eczema and burns. The aim of this study was to predict the content of hypericin in Hypericum perforatum in varied ecological and phenological conditions of habitat using artificial neural network techniques [MLP (Multi-Layer Perceptron), RBF (Radial Basis Function) and SVM (Support Vector Machine)]. SN - 1746-4811 UR - https://doi.org/10.1186/s13007-021-00710-z DO - 10.1186/s13007-021-00710-z ID - Saffariha2021 ER -