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Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection
Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instance, hyperspectral sensors are implemented for stre...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855187/ https://www.ncbi.nlm.nih.gov/pubmed/29393921 http://dx.doi.org/10.3390/s18020441 |
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author | Behmann, Jan Acebron, Kelvin Emin, Dzhaner Bennertz, Simon Matsubara, Shizue Thomas, Stefan Bohnenkamp, David Kuska, Matheus T. Jussila, Jouni Salo, Harri Mahlein, Anne-Katrin Rascher, Uwe |
author_facet | Behmann, Jan Acebron, Kelvin Emin, Dzhaner Bennertz, Simon Matsubara, Shizue Thomas, Stefan Bohnenkamp, David Kuska, Matheus T. Jussila, Jouni Salo, Harri Mahlein, Anne-Katrin Rascher, Uwe |
author_sort | Behmann, Jan |
collection | PubMed |
description | Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instance, hyperspectral sensors are implemented for stress detection in plant phenotyping processes or in precision agriculture. Up to date, a variety of non-imaging and imaging hyperspectral sensors is available. The measuring process and the handling of most of these sensors is rather complex. Thus, during the last years the demand for sensors with easy user operability arose. The present study introduces the novel hyperspectral camera Specim IQ from Specim (Oulu, Finland). The Specim IQ is a handheld push broom system with integrated operating system and controls. Basic data handling and data analysis processes, such as pre-processing and classification routines are implemented within the camera software. This study provides an introduction into the measurement pipeline of the Specim IQ as well as a radiometric performance comparison with a well-established hyperspectral imager. Case studies for the detection of powdery mildew on barley at the canopy scale and the spectral characterization of Arabidopsis thaliana mutants grown under stressed and non-stressed conditions are presented. |
format | Online Article Text |
id | pubmed-5855187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58551872018-03-20 Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection Behmann, Jan Acebron, Kelvin Emin, Dzhaner Bennertz, Simon Matsubara, Shizue Thomas, Stefan Bohnenkamp, David Kuska, Matheus T. Jussila, Jouni Salo, Harri Mahlein, Anne-Katrin Rascher, Uwe Sensors (Basel) Article Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instance, hyperspectral sensors are implemented for stress detection in plant phenotyping processes or in precision agriculture. Up to date, a variety of non-imaging and imaging hyperspectral sensors is available. The measuring process and the handling of most of these sensors is rather complex. Thus, during the last years the demand for sensors with easy user operability arose. The present study introduces the novel hyperspectral camera Specim IQ from Specim (Oulu, Finland). The Specim IQ is a handheld push broom system with integrated operating system and controls. Basic data handling and data analysis processes, such as pre-processing and classification routines are implemented within the camera software. This study provides an introduction into the measurement pipeline of the Specim IQ as well as a radiometric performance comparison with a well-established hyperspectral imager. Case studies for the detection of powdery mildew on barley at the canopy scale and the spectral characterization of Arabidopsis thaliana mutants grown under stressed and non-stressed conditions are presented. MDPI 2018-02-02 /pmc/articles/PMC5855187/ /pubmed/29393921 http://dx.doi.org/10.3390/s18020441 Text en © 2018 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 Behmann, Jan Acebron, Kelvin Emin, Dzhaner Bennertz, Simon Matsubara, Shizue Thomas, Stefan Bohnenkamp, David Kuska, Matheus T. Jussila, Jouni Salo, Harri Mahlein, Anne-Katrin Rascher, Uwe Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title | Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title_full | Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title_fullStr | Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title_full_unstemmed | Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title_short | Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection |
title_sort | specim iq: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855187/ https://www.ncbi.nlm.nih.gov/pubmed/29393921 http://dx.doi.org/10.3390/s18020441 |
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