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dc.creatorAravind, Krishnaswamy R.es
dc.creatorRaja, Purushothamanes
dc.creatorPérez Ruiz, Manueles
dc.date.accessioned2017-08-30T11:14:50Z
dc.date.available2017-08-30T11:14:50Z
dc.date.issued2017
dc.identifier.citationAravind, K.R., Raja, P. y Pérez Ruiz, M. (2017). Task-based agricultural mobile robots in arable farming: A review. Spanish Journal of Agricultural Research, 2017 (15 (1)), 1-16.
dc.identifier.issn2171-9292es
dc.identifier.urihttp://hdl.handle.net/11441/64079
dc.description.abstractIn agriculture (in the context of this paper, the terms “agriculture” and “farming” refer to only the farming of crops and exclude the farming of animals), smart farming and automated agricultural technology have emerged as promising methodologies for increasing the crop productivity without sacrificing produce quality. The emergence of various robotics technologies has facilitated the application of these techniques in agricultural processes. However, incorporating this technology in farms has proven to be challenging because of the large variations in shape, size, rate and type of growth, type of produce, and environmental requirements for different types of crops. Agricultural processes are chains of systematic, repetitive, and time-dependent tasks. However, some agricultural processes differ based on the type of farming, namely permanent crop farming and arable farming. Permanent crop farming includes permanent crops or woody plants such as orchards and vineyards whereas arable farming includes temporary crops such as wheat and rice. Major operations in open arable farming include tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting where robots can assist in performing all of these tasks. Each specific operation requires axillary devices and sensors with specific functions. This article reviews the latest advances in the application of mobile robots in these agricultural operations for open arable farming and provide an overview of the systems and techniques that are used. This article also discusses various challenges for future improvements in using reliable mobile robots for arable farminges
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)es
dc.relation.ispartofSpanish Journal of Agricultural Research, 2017 (15 (1)), 1-16.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectprecision agriculturees
dc.subjecttask-based agricultural robotses
dc.subjectsoil analysises
dc.subjectweed detectiones
dc.subjectharvestinges
dc.titleTask-based agricultural mobile robots in arable farming: A reviewes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidoses
dc.relation.publisherversionhttp://revistas.inia.es/index.php/sjar/article/view/9573/3237es
dc.identifier.doi10.5424/sjar/2017151-9573es
idus.format.extent17 p.es
dc.journaltitleSpanish Journal of Agricultural Researches
dc.publication.volumen2017es
dc.publication.issue15 (1)es
dc.publication.initialPage1es
dc.publication.endPage16es
dc.identifier.sisius13382es

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional