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dc.contributor.authorColaço, André F.
dc.contributor.authorMolin, José P.
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorEscolà i Agustí, Alexandre
dc.date.accessioned2019-01-26T10:53:10Z
dc.date.available2019-01-26T10:53:10Z
dc.date.issued2018
dc.identifier.issn2052-7276
dc.identifier.urihttp://hdl.handle.net/10459.1/65648
dc.description.abstractUltrasonic and light detection and ranging (LiDAR) sensors have been some of the most deeply investigated sensing technologies within the scope of digital horticulture. They can accurately estimate geometrical and structural parameters of the tree canopies providing input information for high-throughput phenotyping and precision horticulture. A review was conducted in order to describe how these technologies evolved and identify the main investigated topics, applications, and key points for future investigations in horticulture science. Most research efforts have been focused on the development of data acquisition systems, data processing, and high-resolution 3D modeling to derive structural tree parameters such as canopy volume and leaf area. Reported applications of such sensors for precision horticulture were restricted to real-time variable-rate solutions where ultrasonic or LiDAR sensors were tested to adjust plant protection product or fertilizer dose rates according to the tree volume variability. More studies exploring other applications in site-specific management are encouraged; some that integrates canopy sensing data with other sources of information collected at the within-grove scale (e.g., digital elevation models, soil type maps, historical yield maps, etc.). Highly accurate 3D tree models derived from LiDAR scanning demonstrate their great potential for tree phenotyping. However, the technology has not been widely adopted by researchers to evaluate the performance of new plant varieties or the outcomes from different management practices. Commercial solutions for tree scanning of whole groves, orchards, and nurseries would promote such adoption and facilitate more applied research in plant phenotyping and precision horticulture.ca_ES
dc.description.sponsorshipWe thank the São Paulo Research Foundation (FAPESP) for providing a scholarship to the first author (grant: 2013/18853-0) and the Coordination for the Improvement of Higher Education Personnel (CAPES), for funding the first author at the University of Lleida (grant: bex_3751/15-5). We also thank Dr. Rick Llewellyn for the English editing and general comments.ca_ES
dc.language.isoengca_ES
dc.publisherSpringer Natureca_ES
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41438-018-0043-0ca_ES
dc.relation.ispartofHorticulture Research, vol. 5, núm. 1, p. 1-11ca_ES
dc.rightscc-by (c) Colaço et al., 2018ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleApplication of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challengesca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec027190
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1038/s41438-018-0043-0


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cc-by (c) Colaço et al., 2018
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