首页|Researchers at Shiraz University Publish New Data on Machine Learning (Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensem ble stacking regression and NSGA-II: a comparative evaluation of machine learning ...)
Researchers at Shiraz University Publish New Data on Machine Learning (Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensem ble stacking regression and NSGA-II: a comparative evaluation of machine learning ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from Shiraz University by NewsRx journalists, research stated, “The process of optimizing in vitro shoot proliferation is a complicated task, as it is influenced by interactions of many factors as well as genotype. This study investigated the role of various concentrations of plant growth regulators (zeatin and gibberellic acid) in the successful in vitro shoot proliferation of three Punica granatum cultivars (‘Faroogh’, ‘Atabaki ’ and ‘Shirineshahvar’).”
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