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

PLoS ONE

Volumn 14, Issue 1, 2019, Pages

  Caruso, Giovanni ^a   Zarco Tejada, Pablo J ^b,c,d   González Dugo, Victoria ^b   Moriondo, Marco ^e   Tozzini, Letizia ^a   Palai, Giacomo ^a   Rallo, Giovanni ^a   Hornero, Alberto ^b,f   Primicerio, Jacopo ^e   Gucci, Riccardo ^a  

^a UNIVERSITY OF PISA   (Italy)

^b INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

^e CNR   (Italy)

^f SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL;

ALTITUDE; ARTICLE; BIOPHYSICS; CANOPY; CHLOROPHYLL CONTENT; GEOGRAPHIC DISTRIBUTION; GEOMETRY; IMAGE ANALYSIS; IRRIGATION (AGRICULTURE); NONHUMAN; OLIVE TREE; PLANT LEAF; PLANT PARAMETERS; VEGETATION; WATER STRESS; ANATOMY AND HISTOLOGY; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; ITALY; METABOLISM; NEAR INFRARED SPECTROSCOPY; PHOTOGRAPHY; PROCEDURES; REMOTE SENSING; TREE;

AGRICULTURAL IRRIGATION; ALTITUDE; BIOPHYSICAL PHENOMENA; CHLOROPHYLL; IMAGE PROCESSING, COMPUTER-ASSISTED; ITALY; OLEA; PHOTOGRAPHY; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; SPECTROSCOPY, NEAR-INFRARED; TREES;

EID: 85060295609     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0210804     Document Type: Article

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