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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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.
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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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