Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks.

Maryam SaffarihaAli JahaniReza JahaniSajid Latif

Published in: Plant methods (2021)

The designed graphical user interface will help pharmacognosist, manufacturers and producers of medicinal plants and so on to run the MLP model on new data to easily discover the content of hypericin in H. perforatum by entering ecological conditions of site, soil characteristics and plant phenological stages.

Keyphrases

neural network
climate change
human health
electronic health record
risk assessment
big data
machine learning
data analysis
cell wall
deep learning