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

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

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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.”

FujianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.29)