首页|Institute of Biotechnology Reports Findings in Support Vector Machines (Potentia l of hyperspectral imaging for nondestructive determination of a-farnesene and c onjugated trienol content in ‘Yali’ pear)
Institute of Biotechnology Reports Findings in Support Vector Machines (Potentia l of hyperspectral imaging for nondestructive determination of a-farnesene and c onjugated trienol content in ‘Yali’ pear)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Sup port Vector Machines is the subject ofa report. According to news reporting ori ginating from Hebei, People’s Republic of China, by NewsRxcorrespondents, resea rch stated, “The sesquiterpene a-farnesene and its corresponding oxidation produ cts,namely conjugated trienols (CTols) is well known to be correlated with the development of superficial scald,a typical physiological disorder after a long term of cold storage in pear fruit. In this work, hyperspectralimaging (HSI) te chnology was used for nondestructive predicting of a-farnesene and CTols [CT258, CT281and CT(281-290)] content in ‘Yali’ pear.”
HebeiPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesTechnology
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