首页|Nanjing Agricultural University Reports Findings in Support Vector Machines (Com paring visible and near infrared ‘point’ spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness)
Nanjing Agricultural University Reports Findings in Support Vector Machines (Com paring visible and near infrared ‘point’ spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Support Vector Machine s is the subject of a report. According to news reporting originating in Nanjing , People’s Republic of China, by NewsRx journalists, research stated, “In this w ork, visible and near-infrared ‘point’ (Vis-NIR) spectroscopy and hyperspectral imaging (Vis- NIR-HSI) techniques were applied on three different apple cultivars to compare their firmness prediction performances based on a large intra-variab ility of individual fruit, and develop rapid and simple models to visualize the variability of apple firmness on three apple cultivars. Apples with high degree of intra-variability can strongly affect the prediction model performances.”
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