New Machine Learning Findings from Cornell University Described (Nyus.2: an Auto mated Machine Learning Prediction Model for the Large-scale Real-time Simulation of Grapevine Freezing Tolerance In North America)

Robotics & Machine Learning Daily News2024，Issue(MAY.14) ：60-61.

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New Machine Learning Findings from Cornell University Described (Nyus.2: an Auto mated Machine Learning Prediction Model for the Large-scale Real-time Simulation of Grapevine Freezing Tolerance In North America)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Geneva, Switzerland, by NewsRx journalists, research stated, “Accurate and real-time monitoring of grapevine f reezing tolerance is crucial for the sustainability of the grape industry in coo l climate viticultural regions. However, on-site data are limited due to the com plexity of measurement.”

Key words

Geneva/Switzerland/Europe/Cyborgs/Em erging Technologies/Machine Learning/Cornell University

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出版年

2024

Robotics & Machine Learning Daily News

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