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Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic Traits of Water Hyssops (Bacopa monnieri L.)

Kubra Mirza, Muhammad Aasım, Ramzan Katırcı, Mehmet Karataş, Syed Amjad Ali

2022Journal of Plant Growth Regulation20 citationsDOI

Topics & Concepts

Bacopa monnieriSodium azideShootMutagenArtificial neural networkBiologyBotanyHorticultureMachine learningComputer scienceBiochemistryDNAMedicinal Plants and NeuroprotectionGABA and Rice ResearchAdvanced Chemical Sensor Technologies
Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic Traits of Water Hyssops (Bacopa monnieri L.) | Litcius