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dc.contributor.authorTorrent, Xavier
dc.contributor.authorGregorio, Eduard
dc.contributor.authorRosell-Polo, Joan R.
dc.contributor.authorArnó, Jaume
dc.contributor.authorPeris, Miquel
dc.contributor.authorvan de Zande, Jan C.
dc.contributor.authorPlanas, Santiago
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2020-03-31T09:47:26Z
dc.date.available2022-03-24T12:00:17Z
dc.date.issued2020-01-15
dc.identifier.citationTorrent, Xavier, Eduard Gregorio, Joan R. Rosell-Polo, Jaume Arnó, Miquel Peris, Jan C. van de Zande, and Santiago Planas. 2020. "Determination Of Spray Drift And Buffer Zones In 3D Crops Using The ISO Standard And New Lidar Methodologies". Science Of The Total Environment 714: 136666. Elsevier BV. doi:10.1016/j.scitotenv.2020.136666.ca
dc.identifier.issn0048-9697ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/664
dc.description.abstractSpray drift generated in the application of plant protection products in tree crops (3D crops) is a major source of environmental contamination, with repercussions for human health and the environment. Spray drift contamination acquires greater relevance in the EU Southern Zone due to the crops structure and the weather conditions. Hence, there is a need to evaluate spray drift when treating the most representative 3D crops in this area. For this purpose, 4 spray drift tests, measuring airborne and sedimenting spray drift in accordance with ISO 22866:2005, were carried out for 4 different crops (peach, citrus, apple and grape) in orchards of the EU Southern Zone, using an air-blast sprayer equipped with standard (STN) and spray drift reduction (DRN) nozzle types. A further 3 tests were carried out to test a new methodology for the evaluation of spray drift in real field conditions using a LiDAR system, in which the spray drift generated by different sprayer and nozzle types was contrasted. The airborne spray drift potential reduction (DPRV) values, obtained following the ISO 22866:2005, were higher than those for sedimenting spray drift potential reduction (DPRH) (63.82%–94.42% vs. 39.75%–69.28%, respectively). For each crop and nozzle type combination, a sedimenting spray drift model was also developed and used to determine buffer zone width. The highest buffer width reduction (STN vs DRN) was obtained in peach (˃75%), while in grape, citrus and apple only 50% was reached. These results can be used as the starting point to determine buffer zone width in the countries of the EU Southern Zone depending on different environmental threshold values. Tests carried out using LiDAR system demonstrated high capacity and efficiency of this system and this newly defined methodology, allowing sprayer and nozzle types in real field conditions to be differentiated and classified.ca
dc.format.extent40ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofScience of the Total Environmentca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleDetermination of spray drift and buffer zones in 3D crops using the ISO standard and new LiDAR methodologiesca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.relation.projectIDMICINN-FEDER/Programa nacional de recursos y tecnologias agroalimentarias/AGL2007-66093-C04-03/ES/Reducción del uso de productos fitosanitarios en cultivos arbóreos. Optimización de la dosis de aplicación en tratamientos mecanizados de frutales/OPTIDOSAca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2013-48297-C2-2-R/ES/Herramientas de base fotónica para la gestión agronómica y el uso de productos fitosanitarios sostenible en cultivos arbóreos en el marco de la agricultura de precisión/AgVANCEca
dc.relation.projectIDMICINN/Programa Nacional de Proyectos de Investigación Fundamental/AGL2010-22304-C04-03/ES/Estrategias integrales para una utilización de fitosanitarios segura y eficaz. Pulverización de precisión y monitorización de la deriva en fruticultura/SAFESPRAYca
dc.subject.udc633ca
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2020.136666ca
dc.contributor.groupFructiculturaca


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
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