Log in to save to my catalogue

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro...

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2812421197

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

About this item

Full title

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-05, Vol.18 (5), p.e0285657

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The process of optimizing
in vitro
seed sterilization and germination is a complicated task since this process is influenced by interactions of many factors (e.g., genotype, disinfectants, pH of the media, temperature, light, immersion time). This study investigated the role of various types and concentrations of disinfectants (i.e., NaOCl, C...

Alternative Titles

Full title

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2812421197

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2812421197

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0285657

How to access this item