Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal

Precision irrigation and optimization of water use have become essential factors in agricul- ture because water is critical for crop growth. The proper management of an irrigation system should enable the farmer to use water efficiently to increase productivity, reduce production costs, and maxi- mi...

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Detalhes bibliográficos
Autor principal: Alibabaei, Khadijeh (author)
Outros Autores: Gaspar, Pedro D. (author), Assunção, Eduardo (author), Alirezazadeh, Saeid (author), Lima, Tânia M. (author), Soares, Vasco N. G. J. (author), Caldeira, João M. L. P. (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
agriculture
deep learning
on-policy deep reinforcement learning
irrigation optimization
Texto completo:http://hdl.handle.net/10400.11/8001
País:Portugal
Oai:oai:repositorio.ipcb.pt:10400.11/8001

Texto Completo

http://hdl.handle.net/10400.11/8001

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