Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 496914
Title Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
Author(s) Golbach, Franck; Kootstra, Gert; Damjanovic, Sanja; Otten, Gerwoud; Zedde, Rick van de
Source Machine Vision Applications 27 (2016)5. - ISSN 0932-8092 - p. 663 - 680.
Department(s) FBR Post Harvest Technology
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) 3D Plant model - High-throughput phenotyping - Plant trait measurements - Seedling phenotyping

In plant phenotyping, there is a demand for high-throughput, non-destructive systems that can accurately analyse various plant traits by measuring features such as plant volume, leaf area, and stem length. Existing vision-based systems either focus on speed using 2D imaging, which is consequently inaccurate, or on accuracy using time-consuming 3D methods. In this paper, we present a computer-vision system for seedling phenotyping that combines best of both approaches by utilizing a fast three-dimensional (3D) reconstruction method. We developed image processing methods for the identification and segmentation of plant organs (stem and leaf) from the 3D plant model. Various measurements of plant features such as plant volume, leaf area, and stem length are estimated based on these plant segments. We evaluate the accuracy of our system by comparing the measurements of our methods with ground truth measurements obtained destructively by hand. The results indicate that the proposed system is very promising.

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