Robotics & Machine Learning Daily News2024,Issue(Aug.1) :64-65.

University of Nottingham Researcher Describes New Findings in Machine Learning ( Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :64-65.

University of Nottingham Researcher Describes New Findings in Machine Learning ( Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news originating fromLoughborough, United Kingdom, b y NewsRx correspondents, research stated, “The objective of thisresearch was to assess the feasibility of remote sensing (RS) technology, specifically an unman ned aerialsystem (UAS), to estimate Bambara groundnut canopy state variables in cluding leaf area index (LAI),canopy chlorophyll content (CCC), aboveground bio mass (AGB), and fractional vegetation cover (FVC).RS and ground data were acqui red during Malaysia’s 2018/2019 Bambara groundnut growing season atsix phenolog ical stages; vegetative, flowering, podding, podfilling, maturity, and senescenc e.”

Key words

University of Nottingham/Loughborough/United Kingdom/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Lear ning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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