首页|Selcuk University Researcher Highlights Recent Research in Machine Learning (Cla ssification of Garlic Varieties with Fluorescent Spectroscopy Using Machine Lear ning)
Selcuk University Researcher Highlights Recent Research in Machine Learning (Cla ssification of Garlic Varieties with Fluorescent Spectroscopy Using Machine Lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting out of Selcuk Univer sity by NewsRx editors, research stated, "Machine learning techniques can produc e fast, accurate and objective results in the analysis of agricultural products. " The news correspondents obtained a quote from the research from Selcuk Universit y: "These artificial intelligence-based systems are frequently encountered in st udies on agriculture in the literature. This study reveals the usability of mach ine learning algorithms in classification of garlic cultivars using fluorescent spectroscopic data. For this, six types of garlic were used: Razgradski-11, Razg radski-12, Razgradski-115, Plovdivski-120, Yambolski-99 and Topolovgradski. In t he first stage, the parsing analysis made from the fluorescent spectroscopic dat a of the garlics was carried out with seven different machine learning. The clas sification results of these seven types of machine learning algorithms were obta ined. In the second stage, the classification results were obtained by adjusting the hyperparameters of each Machine Learning (ML) algorithm in order to control the improvability of the classification accuracy rates."
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