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dc.contributor.authorGregorio López, Eduard
dc.contributor.authorRocadenbosch Burillo, Francesc
dc.contributor.authorSanz Cortiella, Ricardo
dc.contributor.authorRosell Polo, Joan Ramon
dc.date.accessioned2015-09-04T12:01:29Z
dc.date.available2015-09-04T12:01:29Z
dc.date.issued2015
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10459.1/48675
dc.description.abstractSpray drift is one of the main sources of pesticide contamination. For this reason, an accurate understanding of this phenomenon is necessary in order to limit its effects. Nowadays, spray drift is usually studied by using in situ collectors which only allow time-integrated sampling of specific points of the pesticide clouds. Previous research has demonstrated that the light detection and ranging (lidar) technique can be an alternative for spray drift monitoring. This technique enables remote measurement of pesticide clouds with high temporal and distance resolution. Despite these advantages, the fact that no lidar instrument suitable for such an application is presently available has appreciably limited its practical use. This work presents the first eye-safe lidar system specifically designed for the monitoring of pesticide clouds. Parameter design of this system is carried out via signal-to-noise ratio simulations. The instrument is based on a 3-mJ pulse-energy erbium-doped glass laser, an 80-mm diameter telescope, an APD optoelectronic receiver and optomechanically adjustable components. In first test measurements, the lidar system has been able to measure a topographic target located over 2 km away. The instrument has also been used in spray drift studies, demonstrating its capability to monitor the temporal and distance evolution of several pesticide clouds emitted by air-assisted sprayers at distances between 50 and 100 m.ca_ES
dc.description.sponsorshipThis research was partially funded by the Spanish Ministry of Economy and Competitiveness (projects AGL2007-66093-C04-03, AGL2010-22304-C04-03 and AGL2013-48297-C2-2-R) and EU FEDER. This work was conducted in the framework of the collaboration agreement between the Universitat Politècnica de Catalunya (UPC) and the Universitat de Lleida (UdL) ref. A-00793 for Range-Resolved Remote Sensing of the Concentration of Pesticides in Agroforestry Environments. Alexandre Escolà and Joan Masip from the UdL, and Adolfo Comerón, Alejandro Rodríguez and Jordi Tiana from the UPC, are thanked for their cooperation in preparing this work. Innovació i Recerca Industrial i Sostenible S.L. (IRIS) is thanked for his cooperation in the development of the receiving subsystem.
dc.language.isoengca_ES
dc.publisherMDPIca_ES
dc.relationMIECI/PN2004-2007/AGL2007-66093-C04-03
dc.relationMICINN/PN2008-2011/AGL2010-22304-C04-03
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-2-R
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.3390/s150203650ca_ES
dc.relation.ispartofSensors, 2015, vol. 15, núm. 2, p. 3650-3670ca_ES
dc.rightscc-by, (c) Gregorio López, Eduard et al., 2015ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectLidarca_ES
dc.subjectSpray driftca_ES
dc.subjectOptomechanical designca_ES
dc.subjectSignal-to-noise ratioca_ES
dc.subject.otherPesticidesca_ES
dc.titleEye-safe lidar system for pesticide spray drift measurementca_ES
dc.typearticleca_ES
dc.identifier.idgrec022300
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.3390/s150203650


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cc-by, (c) Gregorio López, Eduard et al., 2015
Except where otherwise noted, this item's license is described as cc-by, (c) Gregorio López, Eduard et al., 2015