Towards an Optimized Method of Olive Tree Crown Volume Measurement

Accurate crown characterization of large isolated olive trees is vital for adjusting spray doses in three-dimensional crop agriculture. Among the many methodologies available, laser sensors have proved to be the most reliable and accurate. However, their operation is time consuming and requires spec...

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Detalles Bibliográficos
Autores: Miranda-Fuentes, Antonio, Llorens Calveras, Jordi, Gamarra Diezma, Juan L., Gil-Ribes, Jesús A., Gil Moya, Emilio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/60025
Acceso en línea:https://doi.org/10.3390/s150203671
http://hdl.handle.net/10459.1/60025
Access Level:acceso abierto
Palabra clave:Terrestrial LiDAR
Canopy characterization
Olive tree
Tree crown volume
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spelling Towards an Optimized Method of Olive Tree Crown Volume MeasurementMiranda-Fuentes, AntonioLlorens Calveras, JordiGamarra Diezma, Juan L.Gil-Ribes, Jesús A.Gil Moya, EmilioTerrestrial LiDARCanopy characterizationOlive treeTree crown volumeAccurate crown characterization of large isolated olive trees is vital for adjusting spray doses in three-dimensional crop agriculture. Among the many methodologies available, laser sensors have proved to be the most reliable and accurate. However, their operation is time consuming and requires specialist knowledge and so a simpler crown characterization method is required. To this end, three methods were evaluated and compared with LiDAR measurements to determine their accuracy: Vertical Crown Projected Area method (VCPA), Ellipsoid Volume method (V E ) and Tree Silhouette Volume method (V TS ). Trials were performed in three different kinds of olive tree plantations: intensive, adapted one-trunked traditional and traditional. In total, 55 trees were characterized. Results show that all three methods are appropriate to estimate the crown volume, reaching high coefficients of determination: R 2 = 0.783, 0.843 and 0.824 for VCPA, V E and V TS , respectively. However, discrepancies arise when evaluating tree plantations separately, especially for traditional trees. Here, correlations between LiDAR volume and other parameters showed that the Mean Vector calculated for VCPA method showed the highest correlation for traditional trees, thus its use in traditional plantations is highly recommended.The authors thank the Ministry of Economy and Competitiveness of the Spanish government for financial support, and the pre-commercial procurement MECAOLIVAR project and the Interprofesional del Aceite de Oliva Español (IAOE) for its financial support. This research has been financed with FEDER funds. The first author also thanks the Spanish Ministry of Education, Culture and Sport for its financial support through the National Training Program of University Lecturers (FPU).MDPI2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/s150203671http://hdl.handle.net/10459.1/60025reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a https://doi.org/10.3390/s150203671Sensors, 2015, vol. 15, p. 3671-3687cc-by (c) Miranda-Fuentes et al., 2015info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/600252026-06-24T12:42:17Z
dc.title.none.fl_str_mv Towards an Optimized Method of Olive Tree Crown Volume Measurement
title Towards an Optimized Method of Olive Tree Crown Volume Measurement
spellingShingle Towards an Optimized Method of Olive Tree Crown Volume Measurement
Miranda-Fuentes, Antonio
Terrestrial LiDAR
Canopy characterization
Olive tree
Tree crown volume
title_short Towards an Optimized Method of Olive Tree Crown Volume Measurement
title_full Towards an Optimized Method of Olive Tree Crown Volume Measurement
title_fullStr Towards an Optimized Method of Olive Tree Crown Volume Measurement
title_full_unstemmed Towards an Optimized Method of Olive Tree Crown Volume Measurement
title_sort Towards an Optimized Method of Olive Tree Crown Volume Measurement
dc.creator.none.fl_str_mv Miranda-Fuentes, Antonio
Llorens Calveras, Jordi
Gamarra Diezma, Juan L.
Gil-Ribes, Jesús A.
Gil Moya, Emilio
author Miranda-Fuentes, Antonio
author_facet Miranda-Fuentes, Antonio
Llorens Calveras, Jordi
Gamarra Diezma, Juan L.
Gil-Ribes, Jesús A.
Gil Moya, Emilio
author_role author
author2 Llorens Calveras, Jordi
Gamarra Diezma, Juan L.
Gil-Ribes, Jesús A.
Gil Moya, Emilio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Terrestrial LiDAR
Canopy characterization
Olive tree
Tree crown volume
topic Terrestrial LiDAR
Canopy characterization
Olive tree
Tree crown volume
description Accurate crown characterization of large isolated olive trees is vital for adjusting spray doses in three-dimensional crop agriculture. Among the many methodologies available, laser sensors have proved to be the most reliable and accurate. However, their operation is time consuming and requires specialist knowledge and so a simpler crown characterization method is required. To this end, three methods were evaluated and compared with LiDAR measurements to determine their accuracy: Vertical Crown Projected Area method (VCPA), Ellipsoid Volume method (V E ) and Tree Silhouette Volume method (V TS ). Trials were performed in three different kinds of olive tree plantations: intensive, adapted one-trunked traditional and traditional. In total, 55 trees were characterized. Results show that all three methods are appropriate to estimate the crown volume, reaching high coefficients of determination: R 2 = 0.783, 0.843 and 0.824 for VCPA, V E and V TS , respectively. However, discrepancies arise when evaluating tree plantations separately, especially for traditional trees. Here, correlations between LiDAR volume and other parameters showed that the Mean Vector calculated for VCPA method showed the highest correlation for traditional trees, thus its use in traditional plantations is highly recommended.
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/s150203671
http://hdl.handle.net/10459.1/60025
url https://doi.org/10.3390/s150203671
http://hdl.handle.net/10459.1/60025
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.3390/s150203671
Sensors, 2015, vol. 15, p. 3671-3687
dc.rights.none.fl_str_mv cc-by (c) Miranda-Fuentes et al., 2015
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Miranda-Fuentes et al., 2015
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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