Robotics & Machine Learning Daily News2024,Issue(Dec.16) :80-81.

University of Evora Researcher Describes New Findings in Machine Learning (Moist ure Content Vegetation Seasonal Variability Based on a Multiscale Remote Sensing Approach)

Robotics & Machine Learning Daily News2024,Issue(Dec.16) :80-81.

University of Evora Researcher Describes New Findings in Machine Learning (Moist ure Content Vegetation Seasonal Variability Based on a Multiscale Remote Sensing Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news reportingfrom the University of Evora by N ewsRx journalists, research stated, “Water content is one of the most critical c haracteristics in plant physiological development. Therefore, this information i s a crucial factorin determining the water stress conditions of vegetation, whi ch is essential for assessing the wildfire riskand land management decision-mak ing.”

Key words

University of Evora/Cyborgs/Emerging T echnologies/Machine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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