Survey of Machine Learning and Optimization Algorithms in Plant Tissue Culture

With the increasing global population and agriculture facing numerous challenges due to climate change, finding sustainable solutions to food insecurity is crucial, as hunger and undernutrition continue to be a global challenge. Plant tissue culture has emerged as a promising technology for improvin...

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Published inEngineering proceedings Vol. 56; no. 1; p. 122
Main Authors Nimat Ibrahim, Adedokun Micheal Adedamola, Balkisu Ibrahim, Rasheedat Taiwo Ahmed, Ismail Damilola Raji, Habeeb Bello-Salau
Format Journal Article
LanguageEnglish
Published MDPI AG 01.10.2023
Subjects
breeding
embryogenesis
machine learning algorithm
optimization
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Summary:With the increasing global population and agriculture facing numerous challenges due to climate change, finding sustainable solutions to food insecurity is crucial, as hunger and undernutrition continue to be a global challenge. Plant tissue culture has emerged as a promising technology for improving and multiplying crops rapidly. However, this technique produces extensive data due to the intricate interactions between genetic and environmental components, challenging traditional statistical methods. To address this, researchers are now employing machine learning techniques which excel in handling large, intricate datasets. Thus, current machine learning applications in plant tissue culture research are presented in this mini review.
ISSN:2673-4591
DOI:10.3390/ASEC2023-15259