A comparison of artificial intelligence techniques for predicting hyperforin content in Hypericum perforatum L. in different ecological habitats-Reference-Cited by-同舟云学术

A comparison of artificial intelligence techniques for predicting hyperforin content in Hypericum perforatum L. in different ecological habitats

Published:2021-11 Issue:11 Volume:5 Page:
ISSN:2475-4455
Container-title:Plant Direct
language:en
Short-container-title:Plant Direct

Author:

Saffariha Maryam¹^ORCID,Jahani Ali²^ORCID,Jahani Reza³^ORCID

Affiliation:

1. College of Natural Resources University of Tehran Tehran Iran

2. Assessment and Environment Risks Department Research Center of Environment and Sustainable Development Tehran Iran

3. Department of Pharmacology and Toxicology, School of Pharmacy Shahid Beheshti University of Medical Sciences Tehran Iran

Publisher

Wiley

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pld3.363

Reference62 articles.

1. Investigation of affective habitat factors affecting on abundance of wood macrofungi and sensitivity analysis using the artificial neural network;Aghajani H.;Iranian Journal of Forest and Poplar Research,2014

2. St John's wort (Hypericum perforatum L.): botanical, chemical, pharmacological and clinical advances

3. Impact of Origin and Biological Source on Chemical Composition, Anticholinesterase and Antioxidant Properties of Some St. John’s Wort Species (Hypericum spp., Hypericaceae) from the Central Balkans

4. Ontogenetic Variation Regarding Hypericin and Hyperforin Levels in Four Accessions ofHypericum perforatumL.

5. Altitudinal changes in the content of bioactive substances in Hypericum orientale and Hypericum pallens

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