Field-based implementation of machine learning forecasting for energy-efficient temperature control in a greenhouse system
In this study, we developed a simulation model for the internal environment of greenhouses using artificial intelligence techniques. This study focuses on the practical application of machine learning (ML)-based forecasting for greenhouse temperature control and its potential to improve energy effi...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
PAGEPress Publications
2026-06-01
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| Серии: | Journal of Agricultural Engineering |
| Предметы: | |
| Online-ссылка: | https://www.agroengineering.org/jae/article/view/2199 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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