Robotics & Machine Learning Daily News2024,Issue(MAY.10) :58-58.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.10) :58-58.

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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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Mach ines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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