首页|Findings from University of Cape Coast in Support Vector Machines Reported (Application of handheld NIR spectrometer for simultaneous identification and quantification of quality parameters in intact mango fruits)
Findings from University of Cape Coast in Support Vector Machines Reported (Application of handheld NIR spectrometer for simultaneous identification and quantification of quality parameters in intact mango fruits)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on support vector machines is the subject of a new report. Accordingto news originating from Cape Coast, Ghana, by NewsRx correspondents, research stated, “ABSTRACT:There are several varieties of mango fruits, and the most important quality indicators for determiningmango maturity are pH and total soluble solids (TSS).”
University of Cape CoastCape CoastGhanaAfricaMachine LearningSupport Vector Machines
NETL
NSTL
