Performances Evaluation of a Low-Cost Platform for High-Resolution Plant Phenotyping.
3D phenotyping
low-cost platform
plant imaging
structure for motion
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
02 Jun 2020
02 Jun 2020
Historique:
received:
07
05
2020
revised:
28
05
2020
accepted:
30
05
2020
entrez:
6
6
2020
pubmed:
6
6
2020
medline:
11
3
2021
Statut:
epublish
Résumé
This study aims to test the performances of a low-cost and automatic phenotyping platform, consisting of a Red-Green-Blue (RGB) commercial camera scanning objects on rotating plates and the reconstruction of main plant phenotypic traits via the structure for motion approach (SfM). The precision of this platform was tested in relation to three-dimensional (3D) models generated from images of potted maize, tomato and olive tree, acquired at a different frequency (steps of 4°, 8° and 12°) and quality (4.88, 6.52 and 9.77 µm/pixel). Plant and organs heights, angles and areas were extracted from the 3D models generated for each combination of these factors. Coefficient of determination (R
Identifiants
pubmed: 32498361
pii: s20113150
doi: 10.3390/s20113150
pmc: PMC7308841
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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