Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)-Reference-Cited by-同舟云学术

Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)

Published:2023-04-05 Issue:3 Volume:153 Page:611-624
ISSN:0167-6857
Container-title:Plant Cell, Tissue and Organ Culture (PCTOC)
language:en
Short-container-title:Plant Cell Tiss Organ Cult

Author:

Aasim Muhammad^ORCID,Ali Seyid Amjad,Altaf Muhammad Tanveer,Ali Amjad,Nadeem Muhammad Azhar,Baloch Faheem Shahzad

Publisher

Springer Science and Business Media LLC

Subject

Horticulture

Link

https://link.springer.com/content/pdf/10.1007/s11240-023-02498-3.pdf

Reference68 articles.

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2. Aasim M, Ali SA, Aydin S et al (2023b) Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-25081-3

3. Aasim M, Ali SA, Bekiş P, Nadeem MA (2022a) Light-emitting diodes induced in vitro regeneration of Alternanthera reineckii mini and validation via machine learning algorithms. Vitr Cell Dev Biol 58:816–825

4. Aasim M, Katirci R, Baloch F et al (2022b) Innovation in the breeding of common bean through a combined approach of in vitro regeneration and machine learning algorithms. Front Genet 13:897696

5. Aasim M, Katırcı R, Akgur O et al (2022c) Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L). Ind Crops Prod 181:114801

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