首页|Findings from Northwest A&F University in Support Vector Machines R eported (Quality Grading Method For Pleurotus Eryngii During Postharvest Storage Based On Hyperspectral Imaging and Multiple Quality Indicators)
Findings from Northwest A&F University in Support Vector Machines R eported (Quality Grading Method For Pleurotus Eryngii During Postharvest Storage Based On Hyperspectral Imaging and Multiple Quality Indicators)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews reporting out of Shaanxi, People ’s Republic of China, by NewsRx editors, research stated, “During storage, Pleur otus eryngii is prone to spoilage, significantly affecting their commercial valu e. This studyaddresses the issue of inconsistent quality grading standards and low detection accuracy for Pleurotuseryngii. .”
ShaanxiPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesNorthwest A&F University
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