Robotics & Machine Learning Daily News2024,Issue(Jul.23) :79-79.

Thunen Institute of Forest Ecosystems Reports Findings in Machine Learning (Euro pean beech spring phenological phase prediction with UAV-derived multispectral i ndices and machine learning regression)

Robotics & Machine Learning Daily News2024,Issue(Jul.23) :79-79.

Thunen Institute of Forest Ecosystems Reports Findings in Machine Learning (Euro pean beech spring phenological phase prediction with UAV-derived multispectral i ndices and machine learning regression)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to news originatingfrom Eberswalde, Germany, b y NewsRx correspondents, research stated, “Acquiring phenologicalevent data is crucial for studying the impacts of climate change on forest dynamics and assess ing the risksassociated with the early onset of young leaves. Large-scale mappi ng of forest phenological timing usingEarth observation (EO) data could enhance our understanding of these processes through an added spatialcomponent.”

Key words

Eberswalde/Germany/Europe/Cyborgs/Em erging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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