Temperature and relative humidity prediction in South China greenhouse based on machine learning

Temperature and relative humidity prediction in South China greenhouse based on machine learning

Abstract Prediction of the greenhouse temperature and relative humidity is very important, which can forecast the environment parameters for manual intervention in advance. However, temperature and relative humidity prediction systems face two critical limitations: inconsistent temporal resolution i...

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Bibliographic Details
Main Authors: Xinyu Wei, Yizhi Luo, Xingxing Zhou, Junhong Zhao, Huazhong Lu, Jie Li, Jinrong Zheng, Bin Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Temperature
Relative humidity
Prediction
South China
Greenhouse
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-08964-6
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