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.
Highlights
This study introduces the novel, handheld hyperspectral camera Specim IQ and evaluates it with respect to applications in plant physiology and plant pathology
The IQ sensor is accompanied by the software Specim IQ Studio (Specim Ltd., Oulu, Finland) which relies on the Spectral Angle Mapper (SAM) algorithm to analyze the images and to develop SAM applications which can be executed on the device itself
The investigations performed in this study evaluate the Specim IQ camera with regard to spectral imaging quality and usability in typical applications in current plant phenotying research
Summary
This study introduces the novel, handheld hyperspectral camera Specim IQ and evaluates it with respect to applications in plant physiology and plant pathology. Differences in the material composition of the measured target—e.g., living plants, fruits, geological samples—are reflected in the corresponding spectral profiles This allows the detection of important parameters in food production, soil science and precision agriculture [2,3,4,5,6]. Jay et al [39] used a fixed camera with attached illumination while the plant probe was moved by a translation stage They obtained multi-angle data and derived radiative transfer models especially suited for the close range. The IQ sensor is accompanied by the software Specim IQ Studio (Specim Ltd., Oulu, Finland) which relies on the Spectral Angle Mapper (SAM) algorithm to analyze the images and to develop SAM applications which can be executed on the device itself. Performance for the detection of powdery mildew on barley and classical differentiation of Arabidopsis thaliana mutants are demonstrated
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