An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica-Reference-Cited by-同舟云学术

An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica

Published:2021-11 Issue: Volume:171 Page:113985
ISSN:0926-6690
Container-title:Industrial Crops and Products
language:en
Short-container-title:Industrial Crops and Products

Author:

Taheri-Garavand Amin,Mumivand Hasan,Fanourakis Dimitrios,Fatahi Soodabeh,Taghipour Shirin

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference46 articles.

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4. Kinetics of change in colour and rosmarinic acid equivalents during convective drying of lemon balm (Melissa officinalis L.);Argyropoulos;J. Appl. Res. Med. Aromat. Plants,2014

5. Effects of drying methods on thequality and quantity of the essential oil of Mentha longifolia L. Subsp;Asekun;Capensis. Food. Chem.,2007

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