Assessing the value of deep reinforcement learning for irrigation scheduling
Due to increasing global water scarcity pressure, researchers, policy makers and industry are looking for innovative solutions to increasing agricultural water productivity. Motivated by recent success within complex decision-making environments, Deep Reinforcement Learning (DRL) is being proposed a...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2024-03-01
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| Серии: | Smart Agricultural Technology |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S277237552400008X |
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