Robotics & Machine Learning Daily News2024,Issue(Oct.9) :69-70.

Recent Findings from Jiangsu University Provides New Insights into Machine Learn ing (Improving Carbon Flux Estimation In Tea Plantation Ecosystems: a Machine Le arning Ensemble Approach)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :69-70.

Recent Findings from Jiangsu University Provides New Insights into Machine Learn ing (Improving Carbon Flux Estimation In Tea Plantation Ecosystems: a Machine Le arning Ensemble Approach)

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Abstract

Investigators publish new report on Ma chine Learning. According to news reporting from Zhenjiang, People's Republic of China, by NewsRx journalists, research stated, "Tea plant (Camellia sinensis) i s a major global crop consumed as a drink after water. Quantifying carbon flux, specifically the net ecosystem exchange (NEE), in tea plantations is essential f or determining carbon sequestration and ecosystem carbon balance." Funders for this research include Key R & D Programme of the Jiang su Provincial Government, Priority Academic Programme Development of the Jiangsu Higher Education Institutions.

Key words

Zhenjiang/People's Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Jiangsu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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