Prediction Model and Influencing Factors of CO<sub>2</sub> Micro/Nanobubble Release Based on ARIMA-BPNN

Prediction Model and Influencing Factors of CO<sub>2</sub> Micro/Nanobubble Release Based on ARIMA-BPNN

The quantitative prediction of CO<sub>2</sub> concentration in the growth environment of crops is a key technology for CO<sub>2</sub> enrichment applications. The characteristics of micro/nanobubbles in water make CO<sub>2</sub> micro/nanobubble water potentially...

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Bibliographic Details
Main Authors: Bingbing Wang, Xiangjie Lu, Yanzhao Ren, Sha Tao, Wanlin Gao
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Agriculture
Subjects:
CO<sub>2</sub> prediction
CO<sub>2</sub> enrichment
CO<sub>2</sub> micro/nanobubble
combined prediction model
Online Access:https://www.mdpi.com/2077-0472/12/4/445

Internet

https://www.mdpi.com/2077-0472/12/4/445

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