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Sensors 2018, 18(2), 441; https://doi.org/10.3390/s18020441

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection

1
INRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany
2
IBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany
3
Institute of Sugar Beet Research (IFZ), 37079 Göttingen, Germany
4
Specim Ltd., FI-90571 Oulu, Finland
*
Author to whom correspondence should be addressed.
Received: 30 October 2017 / Revised: 24 January 2018 / Accepted: 24 January 2018 / Published: 2 February 2018
(This article belongs to the Special Issue Sensors in Agriculture)
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Abstract

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. View Full-Text
Keywords: hyperspectral camera; handheld; sensor evaluation; case studies hyperspectral camera; handheld; sensor evaluation; case studies
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Behmann, J.; Acebron, K.; Emin, D.; Bennertz, S.; Matsubara, S.; Thomas, S.; Bohnenkamp, D.; Kuska, M.T.; Jussila, J.; Salo, H.; Mahlein, A.-K.; Rascher, U. Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection. Sensors 2018, 18, 441.

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