Application of Random Forest and ICON Models Combined with Weather Forecasts to Predict Soil Temperature and Water Content in a Greenhouse

Application of Random Forest and ICON Models Combined with Weather Forecasts to Predict Soil Temperature and Water Content in a Greenhouse

Climate change might potentially cause extreme weather events to become more frequent and intense. It could also enhance water scarcity and reduce food security. More efficient water management techniques are thus required to ensure a stable food supply and quality. Maintaining proper soil water con...

Full description

Bibliographic Details
Main Authors: Yi-Zhih Tsai, Kan-Sheng Hsu, Hung-Yu Wu, Shu-I Lin, Hwa-Lung Yu, Kuo-Tsang Huang, Ming-Che Hu, Shao-Yiu Hsu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Water
Subjects:
cherry tomato
time-series
machine learning
inferring connections of networks (ICON)
HYDRUS-1D
Online Access:https://www.mdpi.com/2073-4441/12/4/1176

Internet

https://www.mdpi.com/2073-4441/12/4/1176

Similar Items