טוען...
Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis vinifera) Foliar Wastes
High performance liquid chromatography data related to the concentrations of 12 phenolic compounds in vegetative parts, measured at four sampling times were processed for developing prediction models, based on the cultivar, grapevine organ, growth stage, total flavonoid content (TFC), total reducing...
שמור ב:
| הוצא לאור ב: | Front Plant Sci |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6018394/ https://ncbi.nlm.nih.gov/pubmed/29971086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2018.00837 |
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