Irrigation System Control With Predictive Water Balance Capabilities

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dc.contributor.assigneeTexas A&M University Systemen
dc.creatorSun, Lijia
dc.creatorHu, Jiang
dc.creatorPorter, Dana O.
dc.creatorMarek, Thomas H.
dc.creatorHillyer, Charles C.
dc.creatorYang, Yanxiang
dc.date.accessioned2023-05-03T13:33:36Z
dc.date.available2023-05-03T13:33:36Z
dc.date.filed12/11/2018
dc.date.issued12/6/2022
dc.description.abstractDisclosed are various embodiments for reinforcement learning-based irrigation control to maintain or increase a crop yield or reduce water use. A computing device may be configured to determine an optimal irrigation schedule for a crop planted in a field by applying reinforcement learning (RL), where, for a given state of a total soil moisture, the computing device performs an action, the action comprising waiting or irrigating crop. An immediate reward may be assigned to a state-action pair, the state-action pair comprising the given state of the total soil moisture and the action performed. The computing device may instruct an irrigation system to apply irrigation to at least one crop in accordance with the optimal irrigation schedule determined, where the optimal irrigation schedule includes an amount of water to be applied at a predetermined time.en
dc.description.countryUS
dc.format.digitalOriginreformatted digitalen
dc.identifier.patentapplicationnumber16/771321
dc.identifier.urihttps://hdl.handle.net/1969.1/197550
dc.languageEN
dc.publisherUnited States. Patent and Trademark Officeen
dc.publisher.digitalTexas A&M University. Libraries
dc.rightsPublic Domain (No copyright - United States)en
dc.rights.urihttp://rightsstatements.org/vocab/NoC-US/1.0/
dc.subject.cpcprimaryG06N 20/00
dc.subject.cpcprimaryG01N 33/246
dc.subject.cpcprimaryA01G 25/165
dc.subject.cpcprimaryA01G 25/167
dc.subject.cpcprimaryG01N 2033/245
dc.titleIrrigation System Control With Predictive Water Balance Capabilitiesen
dc.typeUtility patenten

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