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...

詳細記述

書誌詳細

出版年:	Agronomy
主要な著者:	Dongyuan Shi, Pan Yuan, Longwei Liang, Lutao Gao, Ming Li, Ming Diao
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-01-01
主題:	CNN greenhouse microclimate LSTM sparrow search algorithm time series prediction
オンライン･アクセス:	https://www.mdpi.com/2073-4395/14/2/254