A machine learning method based on stacking heterogeneous ensemble learning for prediction of indoor humidity of greenhouse

A machine learning method based on stacking heterogeneous ensemble learning for prediction of indoor humidity of greenhouse

Efficient production management, high productivity, and improved product quality are essential for the success of greenhouse production in producing sustainable agricultural products. Several environmental factors, including air temperature, humidity, CO2 levels, and light levels, have a major influ...

詳細記述

書誌詳細
主要な著者: Sepehr Rezaei Melal, Mahdi Aminian, Seyed Mohammadhossein Shekarian
フォーマット: 論文
言語:English
出版事項: Elsevier 2024-06-01
シリーズ:Journal of Agriculture and Food Research
主題:
Greenhouse
Predicting indoor humidity
Machine learning models
Ensemble learning technique
Stacking method
オンライン･アクセス:http://www.sciencedirect.com/science/article/pii/S2666154324001443

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http://www.sciencedirect.com/science/article/pii/S2666154324001443

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