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Phenoliner: A New Field Phenotyping Platform for Grapevine Research
In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539483/ https://www.ncbi.nlm.nih.gov/pubmed/28708080 http://dx.doi.org/10.3390/s17071625 |
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author | Kicherer, Anna Herzog, Katja Bendel, Nele Klück, Hans-Christian Backhaus, Andreas Wieland, Markus Rose, Johann Christian Klingbeil, Lasse Läbe, Thomas Hohl, Christian Petry, Willi Kuhlmann, Heiner Seiffert, Udo Töpfer, Reinhard |
author_facet | Kicherer, Anna Herzog, Katja Bendel, Nele Klück, Hans-Christian Backhaus, Andreas Wieland, Markus Rose, Johann Christian Klingbeil, Lasse Läbe, Thomas Hohl, Christian Petry, Willi Kuhlmann, Heiner Seiffert, Udo Töpfer, Reinhard |
author_sort | Kicherer, Anna |
collection | PubMed |
description | In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide the opportunity to perform non-destructive evaluations of phenotypic traits using different field phenotyping platforms. One of the biggest technical challenges for field phenotyping of grapevines are the varying light conditions and the background. In the present study the Phenoliner is presented, which represents a novel type of a robust field phenotyping platform. The vehicle is based on a grape harvester following the concept of a moveable tunnel. The tunnel it is equipped with different sensor systems (RGB and NIR camera system, hyperspectral camera, RTK-GPS, orientation sensor) and an artificial broadband light source. It is independent from external light conditions and in combination with artificial background, the Phenoliner enables standardised acquisition of high-quality, geo-referenced sensor data. |
format | Online Article Text |
id | pubmed-5539483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55394832017-08-11 Phenoliner: A New Field Phenotyping Platform for Grapevine Research Kicherer, Anna Herzog, Katja Bendel, Nele Klück, Hans-Christian Backhaus, Andreas Wieland, Markus Rose, Johann Christian Klingbeil, Lasse Läbe, Thomas Hohl, Christian Petry, Willi Kuhlmann, Heiner Seiffert, Udo Töpfer, Reinhard Sensors (Basel) Article In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide the opportunity to perform non-destructive evaluations of phenotypic traits using different field phenotyping platforms. One of the biggest technical challenges for field phenotyping of grapevines are the varying light conditions and the background. In the present study the Phenoliner is presented, which represents a novel type of a robust field phenotyping platform. The vehicle is based on a grape harvester following the concept of a moveable tunnel. The tunnel it is equipped with different sensor systems (RGB and NIR camera system, hyperspectral camera, RTK-GPS, orientation sensor) and an artificial broadband light source. It is independent from external light conditions and in combination with artificial background, the Phenoliner enables standardised acquisition of high-quality, geo-referenced sensor data. MDPI 2017-07-14 /pmc/articles/PMC5539483/ /pubmed/28708080 http://dx.doi.org/10.3390/s17071625 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kicherer, Anna Herzog, Katja Bendel, Nele Klück, Hans-Christian Backhaus, Andreas Wieland, Markus Rose, Johann Christian Klingbeil, Lasse Läbe, Thomas Hohl, Christian Petry, Willi Kuhlmann, Heiner Seiffert, Udo Töpfer, Reinhard Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title_full | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title_fullStr | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title_full_unstemmed | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title_short | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
title_sort | phenoliner: a new field phenotyping platform for grapevine research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539483/ https://www.ncbi.nlm.nih.gov/pubmed/28708080 http://dx.doi.org/10.3390/s17071625 |
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