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J. Imaging
Special Issues
2D, 3D and 4D Imaging for Plant Phenotyping
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2D, 3D and 4D Imaging for Plant Phenotyping

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (31 July 2017)

Special Issue Editors

Dr. Guilherme N. DeSouza

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA
Interests: robotic vision
Special Issues, Collections and Topics in MDPI journals
Dr. Christopher Topp

E-Mail Website
Guest Editor
Danforth Center, 975 N. Warson Rd., St. Louis, MO 63132, USA
Interests: high-throughput 3D root imaging and analysis; root architecture; plant phenotype and genotype

Special Issue Information

Dear Colleagues,

Population increases, degradation and loss of arable land, and the increasing appearance of new pests and diseases all threaten the world's food supply. Understanding how plants respond to environmental and genetic perturbations is essential to accelerating the improvement of crops and agriculture. That understanding would link plant genotypes and the molecular and eco-physiological responses with the expression of specific phenotypes in response to the growing conditions. High-throughput phenotyping provides an unprecedented opportunity to study the physiological, developmental, and molecular mechanisms that govern the dynamic behavior of plants. Therefore, current and future systems must provide highly automated collection of basic phenotypic data that will allow scientists to examine and characterize thousands of plants under biotic and abiotic stress conditions.


In this Special Issue, we will focus on 3D imaging system for high-throughput phenotyping. The following is a non-exhaustive list of the main topics covered by this Special Issue: 3D image processing and analysis of plant (shoot and root) phenotypes, linear, surface and volumetric estimations (e.g., leaf angle, leaf area, canopy height and volume, biomass, etc.), 3D leaf segmentation, texture and visualisation; 4D imaging for growth analysis; multimodal imaging; imaging systems and devices; etc.

Dr. Gui DeSouza
Dr. Chris Topp
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • 2D/3D/4D Imaging and Analysis
  • High-throughput Plant Phenotyping
  • Plant growth and development
  • Root System Architecture
  • Biomass and yield estimation

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Published Papers (2 papers)

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Research

15 pages, 4683 KiB  
Article
Novel Low Cost 3D Surface Model Reconstruction System for Plant Phenotyping
by Suxing Liu, Lucia M. Acosta-Gamboa, Xiuzhen Huang and Argelia Lorence
J. Imaging 2017, 3(3), 39; https://doi.org/10.3390/jimaging3030039 - 18 Sep 2017
Cited by 28 | Viewed by 10843
Abstract
Accurate high-resolution three-dimensional (3D) models are essential for a non-invasive analysis of phenotypic characteristics of plants. Previous limitations in 3D computer vision algorithms have led to a reliance on volumetric methods or expensive hardware to record plant structure. We present an image-based 3D [...] Read more.
Accurate high-resolution three-dimensional (3D) models are essential for a non-invasive analysis of phenotypic characteristics of plants. Previous limitations in 3D computer vision algorithms have led to a reliance on volumetric methods or expensive hardware to record plant structure. We present an image-based 3D plant reconstruction system that can be achieved by using a single camera and a rotation stand. Our method is based on the structure from motion method, with a SIFT image feature descriptor. In order to improve the quality of the 3D models, we segmented the plant objects based on the PlantCV platform. We also deducted the optimal number of images needed for reconstructing a high-quality model. Experiments showed that an accurate 3D model of the plant was successfully could be reconstructed by our approach. This 3D surface model reconstruction system provides a simple and accurate computational platform for non-destructive, plant phenotyping. Full article
(This article belongs to the Special Issue 2D, 3D and 4D Imaging for Plant Phenotyping)
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14 pages, 31238 KiB  
Article
Measuring Leaf Thickness with 3D Close-Up Laser Scanners: Possible or Not?
by Jan Dupuis, Christoph Holst and Heiner Kuhlmann
J. Imaging 2017, 3(2), 22; https://doi.org/10.3390/jimaging3020022 - 15 Jun 2017
Cited by 6 | Viewed by 9038
Abstract
Measuring the 3D shape of plants for phenotyping purposes using active 3D laser scanning devices has become an important field of research. While the acquisition of stem and root structure is mostly straightforward, extensive and non-invasive measuring of the volumetric shape of leaves, [...] Read more.
Measuring the 3D shape of plants for phenotyping purposes using active 3D laser scanning devices has become an important field of research. While the acquisition of stem and root structure is mostly straightforward, extensive and non-invasive measuring of the volumetric shape of leaves, i.e., the leaf thickness, is more challenging. Therefore, the purpose of this paper is to examine whether the leaf thickness is measurable using a high precision industrial laser scanning system. The study comprises a metrological investigation of the accuracy of the laser scanning system with regards to thickness measurements as well as experiments for leaf thickness measurements using several leaves of three different types of crop. The results indicate that although the measuring system is principally able to measure thicknesses of about 74 μ m with statistical certainty, the leaf thickness is not measurable accurately. The reason for this can be attributed to the measurable penetration depth of the laser scanner combined with the variation of the angle of incidence. These effects cause systematic uncertainties and significant variations of the derived leaf thickness. Full article
(This article belongs to the Special Issue 2D, 3D and 4D Imaging for Plant Phenotyping)
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