Prediction of Greenhouse Tomato Crop Evapotranspiration Using XGBoost Machine Learning Model

Prediction of Greenhouse Tomato Crop Evapotranspiration Using XGBoost Machine Learning Model

Crop evapotranspiration estimation is a key parameter for achieving functional irrigation systems. However, ET is difficult to directly measure, so an ideal solution was to develop a simulation model to obtain ET. There are many ways to calculate ET, most of which use models based on the Penman–Mont...

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Bibliographic Details
Main Authors: Jiankun Ge, Linfeng Zhao, Zihui Yu, Huanhuan Liu, Lei Zhang, Xuewen Gong, Huaiwei Sun
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Plants
Subjects:
XGBoost regression
evapotranspiration
solar greenhouse
drip irrigated tomato
machine learning
Online Access:https://www.mdpi.com/2223-7747/11/15/1923

Internet

https://www.mdpi.com/2223-7747/11/15/1923

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