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Benchmarking deep reinforcement learning strategies for the optimal scheduling of deficit irrigation systems - Supplementary dataset

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Autori principali:	Schütze, Niels, Jonas Kunze, Grové, Bennie
Natura:	Recurso digital
Pubblicazione:	Zenodo 2026
Soggetti:	Irrigation Irrigation system deep reinforcement learning deficit irrigation irrigation scheduling water productivity stochastic scheduling Value of Information
Accesso online:	Acceder al recurso
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author	Schütze, Niels Jonas Kunze Grové, Bennie
author_facet	Schütze, Niels Jonas Kunze Grové, Bennie
contents
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_18373922
institution	Zenodo
language
publishDate	2026
publisher	Zenodo
record_format	zenodo
spellingShingle	Benchmarking deep reinforcement learning strategies for the optimal scheduling of deficit irrigation systems - Supplementary dataset Schütze, Niels Jonas Kunze Grové, Bennie Irrigation Irrigation system deep reinforcement learning deficit irrigation irrigation scheduling water productivity stochastic scheduling Value of Information
title	Benchmarking deep reinforcement learning strategies for the optimal scheduling of deficit irrigation systems - Supplementary dataset
topic	Irrigation Irrigation system deep reinforcement learning deficit irrigation irrigation scheduling water productivity stochastic scheduling Value of Information
url	https://doi.org/10.5281/zenodo.18373922