High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology
The geometric features of agricultural trees such as canopy area, tree height and crown volume provide useful information about plantation status and crop production. However, these variables are mostly estimated after a time-consuming and hard field work and applying equations that treat the trees as geometric solids, which produce inconsistent results. As an alternative, this work presents an innovative procedure for computing the 3-dimensional geometric features of individual trees and tree-rows by applying two consecutive phases: 1) generation of Digital Surface Models with Unmanned Aerial Vehicle (UAV) technology and 2) use of object-based image analysis techniques. Our UAV-based procedure produced successful results both in single-tree and in tree-row plantations, reporting up to 97% accuracy on area quantification and minimal deviations compared to in-field estimations of tree heights and crown volumes. The maps generated could be used to understand the linkages between tree grown and field-related factors or to optimize crop management operations in the context of precision agriculture with relevant agro-environmental implications.
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2015-06-24
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dig-ias-es-10261-1584352021-12-28T16:13:54Z High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology Torres-Sánchez, Jorge López Granados, Francisca Serrano, Nicolás Arquero, Octavio Peña Barragán, José Manuel Consejo Superior de Investigaciones Científicas (España) Ministerio de Economía y Competitividad (España) European Commission The geometric features of agricultural trees such as canopy area, tree height and crown volume provide useful information about plantation status and crop production. However, these variables are mostly estimated after a time-consuming and hard field work and applying equations that treat the trees as geometric solids, which produce inconsistent results. As an alternative, this work presents an innovative procedure for computing the 3-dimensional geometric features of individual trees and tree-rows by applying two consecutive phases: 1) generation of Digital Surface Models with Unmanned Aerial Vehicle (UAV) technology and 2) use of object-based image analysis techniques. Our UAV-based procedure produced successful results both in single-tree and in tree-row plantations, reporting up to 97% accuracy on area quantification and minimal deviations compared to in-field estimations of tree heights and crown volumes. The maps generated could be used to understand the linkages between tree grown and field-related factors or to optimize crop management operations in the context of precision agriculture with relevant agro-environmental implications. This research was partly financed by the RECUPERA-2020 Project (agreement between Spanish CSIC and MINECO, EU-FEDER funds) and the Marie Curie Actions (ref.: Project FP7-PEOPLE-2011-CIG-293991, EU-7th Frame Program), Spanish Ministry of Economy and Competitiveness partially funded JTS (FPI grant) and JMP (Ramon y Cajal grant) research. Peer reviewed 2017-12-21T09:59:58Z 2017-12-21T09:59:58Z 2015-06-24 artículo http://purl.org/coar/resource_type/c_6501 PLoS ONE 10(6): e0130479 (20159 1932-6203 http://hdl.handle.net/10261/158435 10.1371/journal.pone.0130479 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 26107174 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/FP7/293991 Publisher's version http://doi.org/10.1371/journal.pone.0130479 Sí open Public Library of Science |
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The geometric features of agricultural trees such as canopy area, tree height and crown volume provide useful information about plantation status and crop production. However, these variables are mostly estimated after a time-consuming and hard field work and applying equations that treat the trees as geometric solids, which produce inconsistent results. As an alternative, this work presents an innovative procedure for computing the 3-dimensional geometric features of individual trees and tree-rows by applying two consecutive phases: 1) generation of Digital Surface Models with Unmanned Aerial Vehicle (UAV) technology and 2) use of object-based image analysis techniques. Our UAV-based procedure produced successful results both in single-tree and in tree-row plantations, reporting up to 97% accuracy on area quantification and minimal deviations compared to in-field estimations of tree heights and crown volumes. The maps generated could be used to understand the linkages between tree grown and field-related factors or to optimize crop management operations in the context of precision agriculture with relevant agro-environmental implications. |
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Consejo Superior de Investigaciones Científicas (España) |
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Consejo Superior de Investigaciones Científicas (España) Torres-Sánchez, Jorge López Granados, Francisca Serrano, Nicolás Arquero, Octavio Peña Barragán, José Manuel |
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Torres-Sánchez, Jorge López Granados, Francisca Serrano, Nicolás Arquero, Octavio Peña Barragán, José Manuel |
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Torres-Sánchez, Jorge López Granados, Francisca Serrano, Nicolás Arquero, Octavio Peña Barragán, José Manuel High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
author_sort |
Torres-Sánchez, Jorge |
title |
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
title_short |
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
title_full |
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
title_fullStr |
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
title_full_unstemmed |
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology |
title_sort |
high-throughput 3-d monitoring of agricultural-tree plantations with unmanned aerial vehicle (uav) technology |
publisher |
Public Library of Science |
publishDate |
2015-06-24 |
url |
http://hdl.handle.net/10261/158435 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 |
work_keys_str_mv |
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