dc.creator | Aravind, Krishnaswamy R. | es |
dc.creator | Raja, Purushothaman | es |
dc.creator | Pérez Ruiz, Manuel | es |
dc.date.accessioned | 2017-08-30T11:14:50Z | |
dc.date.available | 2017-08-30T11:14:50Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Aravind, 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.issn | 2171-9292 | es |
dc.identifier.uri | http://hdl.handle.net/11441/64079 | |
dc.description.abstract | In 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 farming | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) | es |
dc.relation.ispartof | Spanish Journal of Agricultural Research, 2017 (15 (1)), 1-16. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | precision agriculture | es |
dc.subject | task-based agricultural robots | es |
dc.subject | soil analysis | es |
dc.subject | weed detection | es |
dc.subject | harvesting | es |
dc.title | Task-based agricultural mobile robots in arable farming: A review | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos | es |
dc.relation.publisherversion | http://revistas.inia.es/index.php/sjar/article/view/9573/3237 | es |
dc.identifier.doi | 10.5424/sjar/2017151-9573 | es |
idus.format.extent | 17 p. | es |
dc.journaltitle | Spanish Journal of Agricultural Research | es |
dc.publication.volumen | 2017 | es |
dc.publication.issue | 15 (1) | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 16 | es |
dc.identifier.sisius | 13382 | es |