A Multi-Model Deep Learning Approach to Address Prediction Imbalances in Smart Greenhouses

Author:

Morales-García Juan,Terroso-Sáenz Fernando,Cecilia José

Publisher

Elsevier BV

Reference29 articles.

1. Time-series prediction for sensing in smart greenhouses;A Ali;GLOBECOM 2020-2020 IEEE Global Communications Conference,2020

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3. An ensemble learning based hybrid model and framework for air pollution forecasting;Y S Chang;Environmental Science and Pollution Research,2020

4. Ai at the edge: a smart gateway for greenhouse air temperature forecasting;G Codeluppi;2020 IEEE international workshop on metrology for agriculture and forestry,2020

5. Performance analysis of time series deep learning models for climate prediction in indoor hydroponic greenhouses at different time intervals;O Eraliev;Plants,2023

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