Robotics & Machine Learning Daily News2024,Issue(Dec.24) :68-69.

Reports from Nanjing Normal University Add New Data to Findings in Machine Learn ing (Using a Two-stage Hybrid Dimensionality Reduction Method On Hyperspectral D ata To Predict Chlorophyll Content of camellia Oleifera)

Robotics & Machine Learning Daily News2024,Issue(Dec.24) :68-69.

Reports from Nanjing Normal University Add New Data to Findings in Machine Learn ing (Using a Two-stage Hybrid Dimensionality Reduction Method On Hyperspectral D ata To Predict Chlorophyll Content of camellia Oleifera)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Nanjing, P eople’s Republic of China, by NewsRx correspondents, research stated,“Camellia oleifera is an oilseed crop that holds significant economic, ecological, and soc ial value. In therealm of Camellia oleifera cultivation, utilizing hyperspectra l analysis techniques to estimate chlorophyllcontent can enhance our understand ing of its physiological parameters and response characteristics.”

Key words

Nanjing/People’s Republic of China/Asi a/Biological Factors/Chlorophyll/Chlorophyllides/Cyborgs/Dimensionality Red uction/Emerging Technologies/Machine Learning/Metalloporphyrins/Porphyrins/Nanjing Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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