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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Podrobná bibliografie

Hlavní autoři:	T.D. Kelly, T. Foster, David M. Schultz
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-03-01
Edice:	Smart Agricultural Technology
Témata:	Water Irrigation Optimisation Deep learning Economic Scheduling
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S277237552400008X
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