首页|China Agricultural University Reports Findings in Support Vector Machines (Envir onmental variables improve the accuracy of remote sensing estimation of soil org anic carbon content)
China Agricultural University Reports Findings in Support Vector Machines (Envir onmental variables improve the accuracy of remote sensing estimation of soil org anic carbon content)
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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 of areport. According to news originating f rom Beijing, People’s Republic of China, by NewsRx correspondents,research stat ed, “Accurately and quickly estimating the soil organic carbon (SOC) content is crucial inthe monitoring of global carbon. Environmental variables play a signi ficant role in improving the accuracyof the SOC content estimation model.”
BeijingPeople’s Republic of ChinaAsi aMachine LearningRemote SensingSupport Vector Machines
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