Integration of Deep Learning and Sparrow Search Algorithms to Optimize Greenhouse Microclimate Prediction for Seedling Environment Suitability

Integration of Deep Learning and Sparrow Search Algorithms to Optimize Greenhouse Microclimate Prediction for Seedling Environment Suitability

The climatic parameters within greenhouse facilities, such as temperature, humidity, and light, exert significant influence on the growth and yield of crops, particularly seedlings. Therefore, it is crucial to establish an accurate predictive model to monitor and adjust the greenhouse microclimate f...

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Bibliographic Details
Main Authors: Dongyuan Shi, Pan Yuan, Longwei Liang, Lutao Gao, Ming Li, Ming Diao
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Agronomy
Subjects:
CNN
greenhouse microclimate
LSTM
sparrow search algorithm
time series prediction
Online Access:https://www.mdpi.com/2073-4395/14/2/254

Internet

https://www.mdpi.com/2073-4395/14/2/254

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