NIR Hyperspectral imaging system

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Use of NIR hyperspectral imaging to detect and quantify nodules on root system of associated crops

Use of NIR hyperspectral imaging to detect and quantify nodules on root system of associated crops

These preliminary results show once again the wide range of uses for NIR hyperspectral imaging combined with chemometric tools. The discrimination and the quantification of nodules under associated crops will be very useful not only to study the importance of nodules in fixation of nitrogen by leg- umes cultivated in association but also to study the effect of fertilization on the root system of these crops. Damien

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Use of Near Infrared Hyperspectral Imaging (NIR-HSI) and chemometric tools to dicriminate wheat roots and straws in soil

Use of Near Infrared Hyperspectral Imaging (NIR-HSI) and chemometric tools to dicriminate wheat roots and straws in soil

NIR hyperspectral imaging system NIR hyperspectral images were collected using a hyperspectral line scan instrument combined with a conveyor belt (Burgermetrics). The im- ages consisted of lines of 320 pixels acquired at 209 wavelength channels (1118-2425 nm) with a spectral resolution of 6.3 nm (Vermeulen & al., 2012)

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Application of NIR hyperspectral imaging combined to chemometrics to assess the impact of tillage on the root system development of a winter wheat crop

Application of NIR hyperspectral imaging combined to chemometrics to assess the impact of tillage on the root system development of a winter wheat crop

Conclusion This study highlights the real potential of the root biomass quantification method based on NIR-HSI technology for agronomical applications related to the soil. Thanks to this technology, we were able to assess the impact of tillage on the root development of a winter wheat crop. Application of NIR hyperspectral imaging combined to

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Characterization of the impact of tillage and nitrogen fertilization on the root development of a winter wheat crop by use of NIR hyperspectral imaging combined to chemometrics

Characterization of the impact of tillage and nitrogen fertilization on the root development of a winter wheat crop by use of NIR hyperspectral imaging combined to chemometrics

These elements will be scanned using a NIR hyperspectral imaging system working in the 1100-2498 nm spectral range and taking a spectrum for each pixel [3]. The NIR images will be analyzed by a classification tree based on successive chemometric models to separate the spectra into 4 spectral classes: background, soil, crop residues and roots.

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Use of NIR hyperspectral imaging to detect and quantify nodules on root system of associated crops

Use of NIR hyperspectral imaging to detect and quantify nodules on root system of associated crops

References D Eylenbosch et al.: 2014. Detection of wheat root and straw in soil by use of NIR hyperspectral imaging spectroscopy and Partial Least Square discriminant analysis In Proceedings of the ESA 13 th Congress, pp. 237–238. Eds P. Pepó and J Csajbók. J A Fernández Pierna et al.: 2012. NIR Hyperspectral imaging spectroscopy and chemometrics for the detection on undesirable substances in food and feed. Chemometrics and Intelligent Laboratory Systems, 117:233–239.

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Use of NIR hyperspectral imaging and chemometrics to quantify roots and crop residues in soil

Use of NIR hyperspectral imaging and chemometrics to quantify roots and crop residues in soil

Gembloux Agro-Bio Tech, University of Liège, Temperate Crop Science Unit, Belgium. E-mail: d.eylenbosch@ulg.ac.be b Walloon Agricultural Research Centre, Valorisation of Agricultural Products Department, Food and Feed Quality Unit, Belgium. Email: v.baeten@cra.wallonie.be Context : Monitoring of root development and crop residues decomposition in crop soils is important to understand the effects of agricultural practices and to im- prove them. In the fields studies on root system development, soil coring method allows multiple samplings but manual sorting of roots and crop residues extracted from soil samples before quantification is a tedious and time consuming step. Discrimination of roots and crop residues based on their Near Infrared (NIR) spectral signature and chemometrics was tested as a new rapid and reliable method.
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Characterization of PLA-Talc films using NIR chemical imaging and multivariate image analysis techniques

Characterization of PLA-Talc films using NIR chemical imaging and multivariate image analysis techniques

Nagata et al. used NIR probe installed at the foaming extruder die to monitor CO 2 concentration in molten polypropylene [60]. A simple linear regression and PLS models were able to correlate the NIR spectra with the dissolved CO 2 concentration even though the limitations corresponding to the dispersed material may lead to weak absorbance. The PLS model could predict the CO 2 concentration very well. Furthermore, a non-contact NIR imaging system was used by Jiang et al. for on-line monitoring of laid fabric carbon/epoxy resin prepreg [56]. This method coupled with PLS could effectively predict the resin and the volatile content, and can be considered as an effort toward a non-destructive real-time quality control of polymer fabric cloth. Shinzawa et al. investigated the mechanical properties and crystalline structure of poly(lactic acid) (PLA) nanocomposite by thermomechanical analysis (TMA) and NIR spectroscopy, respectively [63]. This work was done by preparing PLA samples with different clay concentration and subsequently collecting hyperspectral NIR images of the samples to identify the relationship between the images and the crystalline structure. The band position shift analysis of the NIR spectra showed the possibility of extracting relevant information about the variation of the crystalline structure closely related with the nanocomposite system. However, this work was limited to qualitative analysis and no quantitative analysis was done to produce a mathematical correlation between nanocomposite concentration using hyperspectral NIR images and crystalline structure.
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SYSIPHE, an airborne hyperspectral imaging system from visible to thermal infrared. Results from the 2015 airborne campaign.

SYSIPHE, an airborne hyperspectral imaging system from visible to thermal infrared. Results from the 2015 airborne campaign.

Keywords: Remote sensing, infrared, multispectral, hyperspectral, airborne, SYSIPHE, SIELETERS, ODIN, thermal infrared, spectroscopy, Fourier transform 2 INTRODUCTION SYSIPHE is an airborne hyperspectral imaging system covering all atmospheric transmission bands from 0.4µm to 11.5µm: visible, NIR, SWIR, MWIR and LWIR. The ground sampling distance is 0.5m over a 500m swath, with higher resolution available in the visible and NIR. The imaging system, developed by Onera and Norsk Elektro Optikk, is flown on a Do-228 aircraft operated by DLR. The SYSIPHE system also comprises a real-time processing capability developed by FFI in collaboration with NEO and a ground post-processing chain, the STAD, developed by Onera. The main information products are georeferenced images of spectral radiance, spectral emissivity and reflectance as well as a surface temperature map.
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Sorting of crop residues and fossil bones from soil by NIR Hyperspectral Imaging

Sorting of crop residues and fossil bones from soil by NIR Hyperspectral Imaging

NIR-HSI system (1100-2500 nm) The ArcheoNIR project is funded by the Fonds de la Recherche Scientifique (FNRS), Fonds de la recherche Fondamentale Collective (FRFC), project number F.FRFC 2.4621.12. The Trou Al’Wesse project is supported by annual subsidies from the Service public de Wallonie (SPW). “Analysis of collagen preservation in bones recovered in archaeological contexts at Trou Al'Wesse (Belgium) using NIR hyperspectral Imaging” 2014, Vincke D., Miller R., Stassart E., Otte M., Dardenne P., Collins M., Wilkinson K., Stewart J., Baeten V., Fernández Pierna J. A. Talanta, 125, pp. 181-188
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Characterization of the impact of tillage on the root development and distribution of crop residues of a winter wheat crop by the use of NIR hyperspectral imaging

Characterization of the impact of tillage on the root development and distribution of crop residues of a winter wheat crop by the use of NIR hyperspectral imaging

Innovative methods in agricultural production TERRA Innovation Fair – 20 May 2016 Root system, Plant nutrition and Soil fertility Characterization of the impact of tillage on the root development and distribution of crop residues of a winter wheat crop by the use of NIR hyperspectral imaging

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Comparison of PLS and SVM discriminant analysis for NIR hyperspectral data of wheat roots in soil

Comparison of PLS and SVM discriminant analysis for NIR hyperspectral data of wheat roots in soil

Gembloux Agro-Bio Tech, University of Liège, Temperate Crop Science Unit, Belgium. E-mail: d.eylenbosch@ulg.ac.be b Walloon Agricultural Research Centre, Valorisation of Agricultural Products Department, Food and Feed Quality Unit, Belgium. Context : Quantification of roots and crop residues is important to understand the impact of agricultural practices on root system development and crop residues de- composition. Current method based on hand sorting is tedious, time-consuming and depends on operator subjectivity. Near Infrared Hyperspectral Imaging (NIR-HI) combined with chemometric tools could be a good alternative as rapid method to sort crop residues and roots extracted from soil samples and to quantify them. NIR-HI combine NIR spectroscopy and imaging technologies allowing the acquisition of a large number of data per sample (Dale et al., 2012) taking into account the heterogene- ity of the products. Robust models are therefore needed to analyze the data. The aim of this work was to compare the chemometric tools PLS and SVM on NIR-HI spec-
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Sorting of crop residues and fossil bones from soil by NIR Hyperspectral Imaging

Sorting of crop residues and fossil bones from soil by NIR Hyperspectral Imaging

2. INSTRUMENTATION In these studies, a NIR hyperspectral line scan (also called push-broom imaging or NIR-HSI) system combined with a conveyor belt (BurgerMetrics SIA, Riga, Latvia) was used (see Figure 1). The instrument is a SWIR XEVA CL 2.5 320 TE4 camera (Specim Ltd, Oulu, Finland); using an ImSpector N25E spectrograph that includes a cooled, temperature-stabilized Mercury-Cadmium-Telluride (MCT) detector (Xenics nv, Leuven, Belgium). The system projects a beam of light onto a two-dimensional Focal Plane Array (FPA) and each image consists of 320-pixel lines acquired in the range 1100-2400 nm with an interval of 6,3 nm. 32 scans per image have been averaged and each pixel provides a reflectance spectrum of a point of the scene [11]. Acquisition is done using HyperPro software (BurgerMetrics SIA, Riga, Latvia).
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Use of NIR Hyperspectral Imaging and dichotomist classification tree based on SVM in order to discriminate roots and crop residues of winter wheat

Use of NIR Hyperspectral Imaging and dichotomist classification tree based on SVM in order to discriminate roots and crop residues of winter wheat

Gembloux Agro-Bio Tech, University of Liège, Temperate Crop Science Unit, Belgium. E-mail: d.eylenbosch@ulg.ac.be b Walloon Agricultural Research Centre, Valorisation of Agricultural Products Department, Food and Feed Quality Unit, Belgium. Context : Quantification of roots and crop residues is important to understand the impact of agricultural practices on root system development and crop residues decomposition. Current method based on hand sorting is tedious, time-consuming and depends on operator subjectivity. NIR Hyper-

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Quantification of roots by the use of NIR hyperspectral imaging and chemometrics

Quantification of roots by the use of NIR hyperspectral imaging and chemometrics

for suitable crop productions but roots are hidden by soil and their study is therefore difficult. Estimation of root system development is often based on the soil coring method which allows repeated measurements during the growing season in the field as well as in different soil horizons. However, this method is limited due to the time needed to extract roots from soil cores and to manually sort them from crop residues before quantification. To avoid this tedious sorting step and remove operator sub- jectivity, a faster sorting method was developed. Near infrared hyperspectral imaging (NIR-HIS) was tested as a rapid method to quantify the amount of roots in soil samples.
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Quantification of roots by the use of NIR hyperspectral imaging and chemometrics

Quantification of roots by the use of NIR hyperspectral imaging and chemometrics

Estimation of root system development is often based on the soil coring method which allows repeated measurements during the growing season in the field as well as in different soil horizons. However, this method is limited due to the time needed to extract roots from soil cores and to manually sort them from crop residues before quantification. To avoid this tedious sorting step and remove operator subjectivity, a procedure based on NIR Hyperspectral Imaging (NIR-HSI) has been developed.

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Pure species of grass discrimination with the help of hyperspectral imaging NIR

Pure species of grass discrimination with the help of hyperspectral imaging NIR

The samples were scanned on a piece of teflon by SWIR ImSpector N25E hyperspectral imaging system (Specim Ltd) (fig.1). This near infrared line scan or push-broom imaging spectrometer is using a cooled, temperature stabilized MCT (Mercury-Cadmium-Telluride), detector (Xenics), combined with a conveyor belt (Burgermetrics).

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Research on crude protein and digestibility of Arnica montana L. using conventional NIR spectrometry and hyperspectral imaging NIR

Research on crude protein and digestibility of Arnica montana L. using conventional NIR spectrometry and hyperspectral imaging NIR

Abstract Arnica montana L. (AM) is considered a medicinal plant, used as hay in feed ration. The aim of this study is to assess the prediction of protein content and in vitro organic matter digestibility value in grass mixtures containing Arnica montana L., and in a second step to check if these values have a positive or negative influence in the mixtures. Crude protein has been selected because it is one of the most important quality parameters of forages as nutritional element used in animal feeding. The protein is required on a daily basis for maintenance, lactation, growth and reproduction, but is important for agriculture too, because a high content of protein makes it an important source of feed. The digestibility is also important, because it refers to the extent to which a feedstuff is absorbed in the animal body as it passes through an animal’s digestive tract. In this study, the Weende system (the Kjeldahl method) for the protein content, together with the enzymatic technique for digestibility, was applied and used in combination with non-destructive methods, like those based on the Near Infrared Spectroscopy (NIRS) or the Near Infrared Hyperspectral Imaging. Based on NIR imaging system data, the PLS-DA was used to discriminate between the classes with AM and classes without AM, as well as to build a model that could be used to predict the composition of mixtures. More than 99% correct prediction for AM was obtained. The crude protein content of the hay determined by classical method decrease from the type of meadow Agrostis capillaris L. - Festuca rubra L. (15.22%) until to the pure sample of Arnica montana L. (11.19%); however, the digestibility was highest in the pure sample of Arnica montana L. (84.13%) and lowest in samples from the type of meadow Agrostis capillaris L. - Festuca rubra L. (57.18%) or in samples with the participation of Arnica montana L. This study should lead to a more important point, which is to verify whether the medicinal properties of Arnica montana L. can be transferred or not to milk production through the dairy cow feed.
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Raman hyperspectral imaging: a single tool to characterise pharmaceutical products

Raman hyperspectral imaging: a single tool to characterise pharmaceutical products

at a pixel level (Figure 4) and not at a sample level without the destruction of the sample. 5. Other applications It is also possible to identify counterfeit drugs. The main advantage of Raman hyperspectral imaging in this case is to detect the presence of excipients that are absent from the original formulation. The application of classification techniques on drugs allows one to separate the counterfeit drugs from the original ones.

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Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Learn about the use of Raman hyperspectral imaging in pharmaceutical applications! Raman hyperspectral imaging results from the powerful combination of spatial (imaging) and spectral (Raman) information. It is increasingly used both in R&D and in the industry because it allows the investigation of many characteristics of solid samples.

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Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Raman Hyperspectral Imaging: An essential tool in the pharmaceutical field

Since Raman spectroscopy is one of the European Pharmacopoeia’s recommended technique (EP 9.1 general text 5.09) to characterize solid states of raw materials, it is consequently the same for hyperspectral Raman imaging. In this example, a tablet composed of the three polymorphs of mannitol (produced in house from the commercial β form) was analyzed by Raman hyperspectral imaging. Once obtained, the spectra were baseline corrected and processed by MCR- ALS. This analysis allowed us to resolve both the spectra and distribution maps of each polymorph (Figure 2). It is therefore possible to use hyperspectral imaging as a tool to detect solid state transitions on samples placed in stability studies, especially because of its non-destructive character.
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