Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/207659
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorAndújar, Dionisioes_ES
dc.contributor.authorMoreno, Hugoes_ES
dc.contributor.authorBengochea-Guevara, José M.es_ES
dc.contributor.authorCastro, Ana Isabel dees_ES
dc.contributor.authorRibeiro Seijas, Ángelaes_ES
dc.date.accessioned2020-04-15T11:22:05Z-
dc.date.available2020-04-15T11:22:05Z-
dc.date.issued2019-02-
dc.identifier.citationComputers and Electronics in Agriculture 157: 351-358 (2019)es_ES
dc.identifier.issn0168-1699-
dc.identifier.urihttp://hdl.handle.net/10261/207659-
dc.description.abstractAerial and on-ground vegetation characterization technologies are continuously evolving. An experiment was conducted in a vineyard field in order to test the economic feasibility of applying fertilizers site specifically based on different mapping systems. The capacity of UAV missions and on-ground systems has been compared using depth cameras or LiDAR systems respectively in order to provide the necessary vineyard volume maps for specific applications like fertilization. Aerial imagery was obtained using a UAV equipped with a high-resolution RGB camera, and a digital surface model was reconstructed using photogrammetry procedures. On-ground crop reconstruction was performed using LiDAR-based measurements taken with an RTK-GNSS along the crop rows. Furthermore, a Kinect v2 sensor was also used as a low cost depth camera. All systems were tested in a commercial field, under sunlight conditions. Every technique provided a 3D dense point cloud from which volume was calculated. The results showed that volume values were always consistent and similar between the studied systems. The on-ground techniques provided the best details of the plants. However, the cost of acquisition was always higher than that of aerial imagery. Concerning the fertiliser application it should be noted that, the changes in shape and size of plants obtained within the vineyard indicate that continuous adjustment of the applied dose would be required to optimize the performed application. When using site-specific spraying based on the created maps, the dose was reduced by up to 80% of the total dosage used with a conventional application. A detailed analysis of savings indicates differences between the systems. The use of aerial imagery techniques resulted in positive net returns, whereas the on-ground technologies needed a faster time of acquisition in order of them to be profitable. Regarding efficacy, no significant differences between applications based on the constructed maps were found. This important reduction in fertilizer application could be followed by an equivalent reduction in plant protection products (e.g., fungicides). Thus, the use of some 3D characterization technologies has shown to be profitable at the current stage of development while also reducing the inputs and the environmental impact of agricultural tasks.es_ES
dc.description.sponsorshipThis research was partly funded by the AGL2013-48297-C2-2-R, and AGL2017-83325-C4-3-R projects (Spanish Ministry of Economy and Competitiveness) and by the RYC-2016-20355 agreement.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2013-48297-C2-2-Res_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/AGL2017-83325-C4-3-Res_ES
dc.relationAGL2017-83325-C4-3-R/AEI/10.13039/501100011033es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2016-20355es_ES
dc.rightsclosedAccesses_ES
dc.subject3D modelinges_ES
dc.subjectLiDARes_ES
dc.subjectRGB-Des_ES
dc.subjectSampling platformses_ES
dc.subjectUAVes_ES
dc.titleAerial imagery or on-ground detection? An economic analysis for vineyard cropses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.compag.2019.01.007-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.compag.2019.01.007es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderAgencia Estatal de Investigación (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeartículo-
Aparece en las colecciones: (IAS) Artículos
(CAR) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf59,24 kBAdobe PDFVista previa
Visualizar/Abrir
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

41
checked on 16-abr-2024

WEB OF SCIENCETM
Citations

32
checked on 19-feb-2024

Page view(s)

191
checked on 23-abr-2024

Download(s)

36
checked on 23-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.