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...

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Detaylı Bibliyografya
Asıl Yazarlar: Sepehr Rezaei Melal, Mahdi Aminian, Seyed Mohammadhossein Shekarian
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Elsevier 2024-06-01
Seri Bilgileri:Journal of Agriculture and Food Research
Konular:
Greenhouse
Predicting indoor humidity
Machine learning models
Ensemble learning technique
Stacking method
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2666154324001443

Internet

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

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