Survey of Machine Learning and Optimization Algorithms in Plant Tissue Culture-Reference-Cited by-同舟云学术

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Survey of Machine Learning and Optimization Algorithms in Plant Tissue Culture

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:ASEC 2023
language:
Short-container-title:

Author:

Ibrahim Nimat¹,Adedamola Adedokun Micheal²,Ibrahim Balkisu³,Ahmed Rasheedat Taiwo⁴,Raji Ismail Damilola⁵^ORCID,Bello-Salau Habeeb⁵^ORCID

Affiliation:

1. Department of Crop Production, Federal University of Technology, Minna 920101, Nigeria

2. Department of Agricultural Economics and Extension, Federal University of Technology, Minna 920101, Nigeria

3. Department of Fisheries and Aquaculture, Ahmadu Bello University, Zaria 810103, Nigeria

4. Department of Soil Science and Land Management, Federal University of Technology, Minna 920101, Nigeria

5. Department of Computer Engineering, Ahmadu Bello University, Zaria 810103, Nigeria

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/56/1/122/pdf

Reference32 articles.

1. Fangueiro, R., and Rana, S. (2016). RILEM Bookseries, Springer.

2. Plant tissue culture technique as a novel tool in plant breeding: A review article;Tazeb;Env. Sci. Internet,2017

3. Review on Application of Plant Tissue Culture in Plant Breeding;Tefera;J. Nat. Sci. Res.,2019

4. Plant tissue culture media and practices: An overview;Phillips;Vitro Cell. Dev. Biol. Plant,2019

5. An introduction to plant tissue culture: Advances and perspectives;Plant Cell Cult. Protoc.,2018

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