DETERMINATION of DETAILED MORPHOLOGICAL FEATURES for PHENOTYPING of SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA

Scholz O, Uhrmann F, Wolff A, Pieger K, Penk D (2019)

Publication Type: Conference contribution

Publication year: 2019

Publisher: Copernicus GmbH

Book Volume: 4

Pages Range: 161-166

Conference Proceedings Title: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Event location: Munich, DEU

DOI: 10.5194/isprs-annals-IV-2-W7-161-2019

Abstract

The sugar beet is the primary source of sugar in Europe and large parts of the world. Tools to determine plant traits with high precision and high throughput are required for the breeding process to quantify the effects of genetic and environmental factors on plant development and yield. In this work, we propose a method to gain a limited yet significant set of descriptive parameters for sugar beet plants. Using optical methods, a 3D representation of each plant is generated and subsequently segmented manually. A customized leaf model developed specifically for sugar beet plants then models the leaves, yielding a vector of descriptive parameters for each leaf. The resulting data is then compared to plant assessments of the same plants performed by sugar beet experts in order to evaluate the viability of automatic plant assessment in the sugar beet breeding process.

Authors with CRIS profile

Dominik Penk Chair of Visual Computing

Involved external institutions

Fraunhofer Development Center X-ray Technology (EZRT) DE Germany (DE) Strube D&S GmbH DE Germany (DE)

How to cite

APA:

Scholz, O., Uhrmann, F., Wolff, A., Pieger, K., & Penk, D. (2019). DETERMINATION of DETAILED MORPHOLOGICAL FEATURES for PHENOTYPING of SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA. In Uwe Stilla, Ludwig Hoegner, Yusheng Xu (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 161-166). Munich, DEU: Copernicus GmbH.

MLA:

Scholz, O., et al. "DETERMINATION of DETAILED MORPHOLOGICAL FEATURES for PHENOTYPING of SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA." Proceedings of the 1st Photogrammetric Image Analysis and Munich Remote Sensing Symposium, PIA 2019+MRSS 2019, Munich, DEU Ed. Uwe Stilla, Ludwig Hoegner, Yusheng Xu, Copernicus GmbH, 2019. 161-166.

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