Next Article in Journal
A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors
Previous Article in Journal
Differential Equation-Based Prediction Model for Early Change Detection in Transient Running Status
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Sensors 2019, 19(2), 413; https://doi.org/10.3390/s19020413

Three-Dimensional Monitoring of Plant Structural Parameters and Chlorophyll Distribution

Graduate School, University of Tokyo, Tokyo 113-8657, Japan
*
Author to whom correspondence should be addressed.
Received: 13 December 2018 / Revised: 16 January 2019 / Accepted: 18 January 2019 / Published: 20 January 2019
(This article belongs to the Section Remote Sensors)
  |  
PDF [2380 KB, uploaded 22 January 2019]
  |  

Abstract

Image analysis is widely used for accurate and efficient plant monitoring. Plants have complex three-dimensional (3D) structures; hence, 3D image acquisition and analysis is useful for determining the status of plants. Here, 3D images of plants were reconstructed using a photogrammetric approach, called “structure from motion”. Chlorophyll content is an important parameter that determines the status of plants. Chlorophyll content was estimated from 3D images of plants with color information. To observe changes in the chlorophyll content and plant structure, a potted plant was kept for five days under a water stress condition and its 3D images were taken once a day. As a result, the normalized Red value and the chlorophyll content were correlated; a high R2 value (0.81) was obtained. The absolute error of the chlorophyll content estimation in cross-validation studies was 4.0 × 10−2 μg/mm2. At the same time, the structural parameters (i.e., the leaf inclination angle and the azimuthal angle) were calculated by simultaneously monitoring the changes in the plant’s status in terms of its chlorophyll content and structural parameters. By combining these parameters related to plant information in plant image analysis, early detection of plant stressors, such as water stress, becomes possible. View Full-Text
Keywords: azimuthal angle; chlorophyll content; growth monitoring; image analysis; leaf inclination angle; plant; remote sensing; structural parameter; structure from motion; three-dimensional (3D) imaging azimuthal angle; chlorophyll content; growth monitoring; image analysis; leaf inclination angle; plant; remote sensing; structural parameter; structure from motion; three-dimensional (3D) imaging
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Itakura, K.; Kamakura, I.; Hosoi, F. Three-Dimensional Monitoring of Plant Structural Parameters and Chlorophyll Distribution. Sensors 2019, 19, 413.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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