Industrial Engineering & Management

Using Machine Learning Algorithm Method to Model Callus Induction and Regeneration in Hypocotyl Explant of Fodder Pea (Pisum sativum var. arvense L.)

Abstract

Rosalind Langley

Plant tissue culture techniques have revolutionized agricultural biotechnology, enabling the propagation of plants from cells and tissues. Understanding callus induction and regeneration in plant explants is crucial for crop improvement and genetic transformation. This article explores the application of machine learning algorithms to model callus induction and regeneration in Hypocotyl Explants of Fodder Pea (P. sativum var. arvense L.). Leveraging data-driven approaches, this study aims to predict and optimize the conditions necessary for efficient callus formation and subsequent plant regeneration, facilitating advancements in plant biotechnology and crop breeding.