Researchers from Yili Normal University Report on Findings in MachineLearning ( Combining the fractional order derivative and machine learning for leaf water co ntent estimation of spring wheat using hyper-spectral indices)

Robotics & Machine Learning Daily News2024，Issue(Jul.8) ：17-18.

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Researchers from Yili Normal University Report on Findings in MachineLearning ( Combining the fractional order derivative and machine learning for leaf water co ntent estimation of spring wheat using hyper-spectral indices)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Yili Normal Un iversity by NewsRx editors, research stated, “Leaf water content (LWC) isa vita l indicator of crop growth and development. While visible and near-infrared (VIS -NIR) spectroscopymakes it possible to estimate crop leaf moisture, spectral pr eprocessing and multiband spectral indiceshave important significance in the qu antitative analysis of LWC.”

Key words

Yili Normal University/Cyborgs/Emergin g Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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