Next Article in Journal
Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment
Previous Article in Journal
Electronic Voltage and Current Transformers Testing Device
Article Menu

Export Article

Open AccessArticle
Sensors 2012, 12(1), 1052-1071; doi:10.3390/s120101052

Computer Reconstruction of Plant Growth and Chlorophyll Fluorescence Emission in Three Spatial Dimensions

1
Department of Plant, Soil and Environmental Science, University of Firenze, Viale delle Idee, 30 50019-Sesto Fiorentino, Firenze, Italy
2
Global Change Research Centre, Academy of Sciences of the Czech Republic, Zámek 136, CZ-37333 Nové Hrady, Czech Republic
3
Institute of Physical Biology, University of South Bohemia, Zámek 136, CZ-37333 Nové Hrady, Czech Republic
Current address: Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.
*
Author to whom correspondence should be addressed.
Received: 4 January 2012 / Revised: 13 January 2012 / Accepted: 16 January 2012 / Published: 18 January 2012
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [923 KB, uploaded 21 June 2014]   |  

Abstract

Plant leaves grow and change their orientation as well their emission of chlorophyll fluorescence in time. All these dynamic plant properties can be semi-automatically monitored by a 3D imaging system that generates plant models by the method of coded light illumination, fluorescence imaging and computer 3D reconstruction. Here, we describe the essentials of the method, as well as the system hardware. We show that the technique can reconstruct, with a high fidelity, the leaf size, the leaf angle and the plant height. The method fails with wilted plants when leaves overlap obscuring their true area. This effect, naturally, also interferes when the method is applied to measure plant growth under water stress. The method is, however, very potent in capturing the plant dynamics under mild stress and without stress. The 3D reconstruction is also highly effective in correcting geometrical factors that distort measurements of chlorophyll fluorescence emission of naturally positioned plant leaves. View Full-Text
Keywords: 3D reconstruction; chlorophyll fluorescence imaging; leaf area; leaf angle; plant growth; coded light 3D reconstruction; chlorophyll fluorescence imaging; leaf area; leaf angle; plant growth; coded light
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bellasio, C.; Olejníčková, J.; Tesař, R.; Šebela, D.; Nedbal, L. Computer Reconstruction of Plant Growth and Chlorophyll Fluorescence Emission in Three Spatial Dimensions. Sensors 2012, 12, 1052-1071.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top