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Agricultural irrigation scheduling for a crop management system considering water and energy use optimization

dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorGomes, Luis
dc.contributor.authorVale, Zita
dc.date.accessioned2021-01-29T15:16:54Z
dc.date.available2021-01-29T15:16:54Z
dc.date.issued2020-03
dc.description.abstractCenter pivot systems are widely used to overcome the irrigation needs of agricultural fields. In this paper, an autonomous approach is proposed in order to improve the low efficiency of irrigation by developing a system based on the water requirement of the plantations, through field data. The data are local temperature, local wind, soil moisture, precipitation forecast, and soil evapotranspiration calculation. This information enables the system to calculate the real evapotranspiration for not being necessary to restrict to lysimetric measures. By this way, the system schedules the irrigation for the lower cost periods, considering the produced energy by the local resources, and the price of energy purchased from the utility grid. Also, it is considered that the irrigation must be carried out within the time interval in which the plantations do not reach the wilding point, so it will be carried out at the periods with the lowest cost. This will optimize the overall operational costs of the irrigation.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following project: Eco Rural IoT project funded by TETRAMAX-VALUECHAIN-TTX-1, and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2019.08.031pt_PT
dc.identifier.issn2352-4847
dc.identifier.urihttp://hdl.handle.net/10400.22/16800
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484719306250?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSmart farmingpt_PT
dc.subjectWater resource schedulingpt_PT
dc.subjectAgricultural irrigationpt_PT
dc.subjectEnergy optimizationpt_PT
dc.titleAgricultural irrigation scheduling for a crop management system considering water and energy use optimizationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.endPage139pt_PT
oaire.citation.startPage133pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAbrishambaf
person.familyNameFaria
person.familyNameVale
person.givenNameOmid
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-8597-3383
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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