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High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes

Giovanni Caruso, Pablo J. Zarco-Tejada, Victoria González-Dugo, Marco Moriondo, Letizia Tozzini, Giacomo Palai, Giovanni Rallo, Alberto Hornero, Jacopo Primicerio, Riccardo Gucci

PLOS ONE, Volume: 14, Issue: 1, Start page: e0210804

Swansea University Author: Alberto Hornero

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DOI (Published version): 10.1371/journal.pone.0210804

Published in: PLOS ONE
ISSN: 1932-6203
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa48693
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first_indexed 2019-02-05T20:03:10Z
last_indexed 2019-02-21T20:05:26Z
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spelling 2019-02-21T15:02:12.5910898 v2 48693 2019-02-05 High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes 3140d9cb2dde2c093d42d5bf3b85d05e Alberto Hornero Alberto Hornero true false 2019-02-05 FGSEN Journal Article PLOS ONE 14 1 e0210804 1932-6203 22 1 2019 2019-01-22 10.1371/journal.pone.0210804 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2019-02-21T15:02:12.5910898 2019-02-05T15:46:53.5266068 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Giovanni Caruso 1 Pablo J. Zarco-Tejada 2 Victoria González-Dugo 3 Marco Moriondo 4 Letizia Tozzini 5 Giacomo Palai 6 Giovanni Rallo 7 Alberto Hornero 8 Jacopo Primicerio 9 Riccardo Gucci 10 0048693-05022019154817.pdf 48693.pdf 2019-02-05T15:48:17.9070000 Output 3083654 application/pdf Version of Record true 2019-02-04T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License (CC-BY). true eng
title High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
spellingShingle High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
Alberto Hornero
title_short High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
title_full High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
title_fullStr High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
title_full_unstemmed High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
title_sort High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
author_id_str_mv 3140d9cb2dde2c093d42d5bf3b85d05e
author_id_fullname_str_mv 3140d9cb2dde2c093d42d5bf3b85d05e_***_Alberto Hornero
author Alberto Hornero
author2 Giovanni Caruso
Pablo J. Zarco-Tejada
Victoria González-Dugo
Marco Moriondo
Letizia Tozzini
Giacomo Palai
Giovanni Rallo
Alberto Hornero
Jacopo Primicerio
Riccardo Gucci
format Journal article
container_title PLOS ONE
container_volume 14
container_issue 1
container_start_page e0210804
publishDate 2019
institution Swansea University
issn 1932-6203
doi_str_mv 10.1371/journal.pone.0210804
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
published_date 2019-01-22T03:59:17Z
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score 10.999547

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