Robotics & Machine Learning Daily News2024,Issue(Dec.3) :124-125.

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)

西北农林科技大学支持向量机研究(基于高光谱成像和多质量指标的杏鲍菇采后品质分级方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :124-125.

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)

西北农林科技大学支持向量机研究(基于高光谱成像和多质量指标的杏鲍菇采后品质分级方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-支持向量机的新研究是一篇报道的主题。根据NewsRx编辑对陕西外的新闻报道称:“杏鲍菇在贮藏过程中容易变质,极大地影响了其商业价值。”解决了侧耳质量分级标准不一致和检测精度低的问题杏鲍菇 .”

Abstract

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. .”

Key words

Shaanxi/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Mach ines/Northwest A&F University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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