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dc.contributor.authorLlorens, J.
dc.contributor.authorRomán, C.
dc.contributor.authorEscolà, A.
dc.contributor.authorGené-Mola, Jordi
dc.contributor.authorMartínez-Casasnovas, J.A.
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2025-06-06T09:41:50Z
dc.date.available2025-06-06T09:41:50Z
dc.date.issued2023
dc.identifier.citationLlorens, J., C. Román, A. Escolà, J. Gené-Mola, J. Arnó, and J.A. Martínez-Casasnovas. 2023. “How Can Precision Agriculture Prescription Maps Contribute to the 50% Pesticide Reduction Goal of the Farm-To-Fork Strategy in Viticulture.” Precision Agriculture ’23, July, 285–92. https://doi.org/10.3920/978-90-8686-947-3_34. ‌ca
dc.identifier.isbn978-90-8686-947-3ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/4565
dc.description.abstractThe Farm-to-Fork (F2F) strategy of the European Green Deal demands a 50 % reduction in the use of pesticides by 2030. In this work, several Precision Agriculture solutions were used in a vineyard spray application and the results were compared to a conventional treatment. Three different treatments were applied with the farm air-blast sprayer in a commercial 2.5 ha vineyard. Treatment 1 was the conventional farm application of a uniform 450 L ha-1 volume rate. In Treatment 2, the decision support system (DSS) DOSA3D was used to decide an adjusted uniform volume rate of 430 L ha-1. Treatment 3 took advantage of several PA techniques: a) electronic canopy characterization using a mobile terrestrial laser scanner to map canopy geometric parameters; b) management zones delineation; c) DSS to decide two different dose rates to create a prescription map (low vigour: 340 L ha-1 and high vigour: 430 L ha-1); d) variable-rate technology to execute the prescription map implemented in the farm sprayer. The spray deposit on leaves was the parameter used to assess differences between treatments. The statistical analysis did not show significant differences between treatments in high vigour vines. However, in low vigour vines, the mean deposits of both uniform treatments increased and showed significant differences with the variable-rate treatment.ca
dc.description.sponsorshipThis work was partly funded by the Spanish Ministry of Science, Innovation and Universities through the projects PAgFRUIT (RTI2018-094222-B-I00) and PAgPROTECT (PID2021-126648OB-I00) (by MCIN/AEI/10.13039/501100011033 and by “ERDF, a way of making Europe”, by the European Union). The work of Jordi Gené Mola was supported by the Spanish Ministry of Universities through a Margarita Salas postdoctoral grant funded by the European Union - NextGenerationEU.ca
dc.format.extent9ca
dc.language.isoengca
dc.publisherBrillca
dc.relation.ispartofPrecision agriculture '23ca
dc.rightsCopyright © Wageningen Academic, 2023ca
dc.titleHow can precision agriculture prescription maps contribute to the 50% pesticide reduction goal of the farm-to-fork strategy in viticultureca
dc.typeinfo:eu-repo/semantics/bookPartca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDMICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-094222-B-100/ES/Tecnologías de agricultura de precisión para optimizar el manejo de dosel foliar y la protección fitosanitaria sostenible en plantaciones de frutales/PAgFRUITca
dc.relation.projectIDMICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2021-126648OB-100/ES/Protección de cultivos de precisión para conseguir objetivos del Pacto Verde Europeo en uso eficiente y reducción de fitosanitarios mediate Agricultura de Precisión/PAgPROTECTca
dc.subject.udc63ca
dc.identifier.doihttp://doi.org/10.3920/978-90-8686-947-3_34ca
dc.contributor.groupÚs Eficient de l'Aigua en Agriculturaca


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