Robotics & Machine Learning Daily News2024,Issue(Aug.29) :4-5.

New Machine Learning Study Findings Have Been Reported from Xiamen University (P rediction of Daily Leaf Wetness Duration Using Multi-step Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.29) :4-5.

New Machine Learning Study Findings Have Been Reported from Xiamen University (P rediction of Daily Leaf Wetness Duration Using Multi-step Machine Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingoriginating in Fujian, People’s Republic of China, by NewsRx journalists, research stated, “Accuratelypredicting leaf w etness duration (LWD) is vital for effective plant disease management outbreaks andtimely warnings. This study introduces an innovative approach using machine learning (ML) techniques,specifically a Multi-Step ML-based approach, coupled w ith meteorological data to predict LWD.”

Key words

Fujian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xiamen University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文