Machine learning algorithms to assess the thermal behavior of a Moroccan agriculture greenhouse

Author:

Allouhi Amine,Choab Noureddine,Hamrani AbderrachidORCID,Saadeddine Said

Publisher

Elsevier BV

Subject

Plant Science,Forestry

Reference37 articles.

1. A quasi-steady state model for predicting the heating requirements of conventional greenhouses in cold regions;Ahamed;Inform. Process. Agric.,2018

2. A novel blood pressure estimation method based on the classification of oscillometric waveforms using machine-learning methods;Alghamdi;Appl. Acoust.,2020

3. Wireless sensor network and deep learning for prediction greenhouse environments;Ali,2019

4. Autonomous greenhouse microclimate through hydroponic design and refurbished thermal energy by phase change material;Baddadi;J. Clean. Prod.,2019

5. SE—structures and environment: convective and ventilation transfers in greenhouses, part 2: determination of the distributed greenhouse climate;Boulard;Biosyst. Eng.,2002

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