Evaluating Time-Series Prediction of Temperature, Relative Humidity, and CO<sub>2</sub> in the Greenhouse with Transformer-Based and RNN-Based Models

Evaluating Time-Series Prediction of Temperature, Relative Humidity, and CO<sub>2</sub> in the Greenhouse with Transformer-Based and RNN-Based Models

In greenhouses, plant growth is directly influenced by internal environmental conditions, and therefore requires continuous management and proper environmental control. Inadequate environmental conditions make plants vulnerable to pests and diseases, lower yields, and cause impaired growth and devel...

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Bibliographic Details
Main Authors: Ju Yeon Ahn, Yoel Kim, Hyeonji Park, Soo Hyun Park, Hyun Kwon Suh
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agronomy
Subjects:
Autoformer
DLinear
LSTM
SegRNN
greenhouse
time series
Online Access:https://www.mdpi.com/2073-4395/14/3/417

Internet

https://www.mdpi.com/2073-4395/14/3/417

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