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Titel:

An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yu, Kang; Kirchgessner, Norbert; Grieder, Christoph; Walter, Achim; Hund, Andreas
Abstract:
Robust segmentation of canopy cover (CC) from large amounts of images taken under different illumination/light conditions in the field is essential for high throughput field phenotyping (HTFP). We attempted to address this challenge by evaluating different vegetation indices and segmentation methods for analyzing images taken at varying illuminations throughout the early growth phase of wheat in the field. 40,000 images taken on 350 wheat genotypes in two consecutive years were assessed for this...     »
Zeitschriftentitel:
Plant Methods
Jahr:
2017
Band / Volume:
13
Heft / Issue:
1
Volltext / DOI:
doi:10.1186/s13007-017-0168-4
Verlag / Institution:
Springer Science and Business Media LLC
E-ISSN:
1746-4811
Publikationsdatum:
21.03.2017
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