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)

Robotics & Machine Learning Daily News2024，Issue(Jan.1) ：36-37.

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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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Abstract

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).”

Key words

University of Cape Coast/Cape Coast/Ghana/Africa/Machine Learning/Support Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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