scholarly journals Estimation of Secondary Soil Properties by Fusion of Laboratory and On-Line Measured Vis–NIR Spectra

2019 ◽  
Vol 11 (23) ◽  
pp. 2819 ◽  
Author(s):  
Muhammad Abdul Munnaf ◽  
Said Nawar ◽  
Abdul Mounem Mouazen
Keyword(s):  
Soil Properties ◽  
Real Time ◽  
Measurement Accuracy ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Accurate Estimation ◽  
Line Measurement ◽  
On Line

Visible and near infrared (vis–NIR) diffuse reflectance spectroscopy has made invaluable contributions to the accurate estimation of soil properties having direct and indirect spectral responses in NIR spectroscopy with measurements made in laboratory, in situ or using on-line (while the sensor is moving) platforms. Measurement accuracies vary with measurement type, for example, accuracy is higher for laboratory than on-line modes. On-line measurement accuracy deteriorates further for secondary (having indirect spectral response) soil properties. Therefore, the aim of this study is to improve on-line measurement accuracy of secondary properties by fusion of laboratory and on-line scanned spectra. Six arable fields were scanned using an on-line sensing platform coupled with a vis–NIR spectrophotometer (CompactSpec by Tec5 Technology for spectroscopy, Germany), with a spectral range of 305–1700 nm. A total of 138 soil samples were collected and used to develop five calibration models: (i) standard, using 100 laboratory scanned samples; (ii) hybrid-1, using 75 laboratory and 25 on-line samples; (iii) hybrid-2, using 50 laboratory and 50 on-line samples; (iv) hybrid-3, using 25 laboratory and 75 on-line samples, and (v) real-time using 100 on-line samples. Partial least squares regression (PLSR) models were developed for soil pH, available potassium (K), magnesium (Mg), calcium (Ca), and sodium (Na) and quality of models were validated using an independent prediction dataset (38 samples). Validation results showed that the standard models with laboratory scanned spectra provided poor to moderate accuracy for on-line prediction, and the hybrid-3 and real-time models provided the best prediction results, although hybrid-2 model with 50% on-line spectra provided equally good results for all properties except for pH and Na. These results suggest that either the real-time model with exclusively on-line spectra or the hybrid model with fusion up to 50% (except for pH and Na) and 75% on-line scanned spectra allows significant improvement of on-line prediction accuracy for secondary soil properties using vis–NIR spectroscopy.

scholarly journals On-line measurement of soil properties without direct spectral response in near infrared spectral range

2013 ◽  
Vol 132 ◽  
pp. 21-29 ◽  
Author(s):  
Omar Marín-González ◽  
Boyan Kuang ◽  
Mohammed Z. Quraishi ◽  
Miguel Ángel Munóz-García ◽  
Abdul Mounem Mouazen
Keyword(s):  
Soil Properties ◽  
Spectral Range ◽  
Near Infrared ◽  
Spectral Response ◽  
Infrared Spectral Range ◽  
Line Measurement ◽  
Infrared Spectral ◽  
On Line

scholarly journals Real-time and on-line parallel detection of key fermentation process parameters by near-infrared spectroscopy in different environments

2021 ◽  
Author(s):  
Yang Chen ◽  
Lingli Chen ◽  
Meijin Guo ◽  
Xu Li ◽  
Jinsong Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Fermentation Process ◽  
Near Infrared ◽  
Prediction Models ◽  
Nir Spectroscopy ◽  
Environmental Parameters ◽  
Inhomogeneous System ◽  
Least Squares Regression ◽  
Experiment Platform ◽  
On Line

Abstract The fermentation process is dynamically changing, and the metabolic status can be grasped through real-time monitoring of environmental parameters. In this study, a real-time and on-line monitoring experiment platform for substrates and products detection was developed based on non-contact type near-infrared (NIR) spectroscopy technology. The prediction models for monitoring the fermentation process of lactic acid, sophorolipids and sodium gluconate were established based on partial least-squares regression and internal cross-validation methods. Through fermentation verification, the accuracy and precision of the NIR model for the complex fermentation environments, different rheological properties (uniform system and multi-phase inhomogeneous system) and different parameter types (substrate, product and nutrients) have good applicability, and R2 is greater than 0.90, exhibiting a good linear relationship. The root mean square error shows that the model has high credibility. This research provides a basis for the application of NIR spectroscopy in complex fermentation systems.

On-line application of visible and near infrared reflectance spectroscopy to predict physical and sensory characteristics of beef quality

2009 ◽  
Vol 2009 ◽  
pp. 135-135
Author(s):  
N Prieto ◽  
D W Ross ◽  
E A Navajas ◽  
G Nute ◽  
R I Richardson ◽  
...  
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Sensory Characteristics ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Beef Quality ◽  
Near Infrared Reflectance ◽  
On Line ◽  
Meat Samples

Visible and near infrared reflectance spectroscopy (Vis-NIR) has been widely used by the industry research-base for large-scale meat quality evaluation to predict the chemical composition of meat quickly and accurately. Meat tenderness is measured by means of slow and destructive methods (e.g. Warner-Bratzler shear force). Similarly, sensory analysis, using trained panellists, requires large meat samples and is a complex, expensive and time-consuming technique. Nevertheless, these characteristics are important criteria that affect consumers’ evaluation of beef quality. Vis-NIR technique provides information about the molecular bonds (chemical constituents) and tissue ultra-structure in a scanned sample and thus can indirectly predict physical or sensory parameters of meat samples. Applications of Vis-NIR spectroscopy in an abattoir for prediction of physical and sensory characteristics have been less developed than in other fields. Therefore, the aim of this study was to test the on-line Vis-NIR spectroscopy for the prediction of beef quality characteristics such as colour, instrumental texture, water holding capacity (WHC) and sensory traits, by direct application of a fibre-optic probe to the M. longissimus thoracis with no prior sample treatment.

On-Line Monitoring of Melt-Extrusion Transesterification of Ethylene Vinylacetate Copolymers by near Infrared Spectroscopy and Chemometrics

2002 ◽  
Vol 10 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Tsuyoshi Furukawa ◽  
Yasuo Kita ◽  
Shigehiro Sasao ◽  
Kimihiro Matsukawa ◽  
Masahiro Watari ◽  
...  
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Intensity Change ◽  
Melt Extrusion ◽  
Peak Intensity ◽  
Fibre Optic Probe ◽  
On Line ◽  
Significant Intensity ◽  
Optic Probe

The melt-extrusion transesterification of ethylene/vinylacetate (EVA) copolymer to ethylene/vinylalcohol (EVAL) copolymers has been monitored by on-line near infrared (NIR) spectroscopy. A total of 60 NIR spectra were measured within 37 minutes after the initial addition of octanol (reagent) and catalyst (sodium methoxide) at the exit of the extruder by use of a fibre-optic probe. The most significant intensity change is observed for a band at 7089 cm−1 due to the first overtone of an OH stretching mode of the EVAL copolymers. We can monitor the progress of the reaction by plotting the peak intensity at 7089 cm−1 only. A principal component analysis (PCA) was carried out for the series of NIR spectra in the 7300–6900 cm−1 region. A score plot of PCA factor 1 is almost identical with the plot of the peak intensity at 7089 cm−1. Calibration models for predicting the vinyl acetate content in EVA copolymers have been developed by use of partial least squares (PLS) regression. The correlation coefficient and standard error of prediction are 0.96 and 0.85%, respectively, indicating that the described technique can be used to monitor the transesterification reaction.

The Research and Realization of Capacitive Current on Line Measurement Based on DSP

2012 ◽  
Vol 195-196 ◽  
pp. 195-199
Author(s):  
Jian Wen Wang ◽  
Zheng Feng Wang ◽  
Peng Li
Keyword(s):  
Measurement Error ◽  
Real Time ◽  
Measurement Methods ◽  
Current Measurement ◽  
Capacitive Current ◽  
Line Measurement ◽  
On Line ◽  
Capacitance Current ◽  
Signal Method

In the paper, it proceeds in-depth research and analysis to the existing capacitance current measurement methods, and the infuse signal method is chosen to achieve capacitance current accurate measurement on this basis. The method has the advantage of measurement error small, real-time good and safe reliable.

An Optical Fiber Sensing System for On-Line Measurement of Soil Properties

2011 ◽  
Vol 179-180 ◽  
pp. 1314-1317 ◽  
Author(s):  
Hai Qing Yang ◽  
Gang Lv
Keyword(s):  
Optical Fiber ◽  
Soil Properties ◽  
Prediction Models ◽  
Field Testing ◽  
Cost Ratio ◽  
Fiber Sensing ◽  
Sensing System ◽  
Line Measurement ◽  
Optical Fiber Sensing ◽  
On Line

Fast measurement of soil properties is of great value for farmland fertilizer management with the purpose of reducing environmental pollution caused by over-fertilizing and improving yield/cost ratio of land. In the study, an optical fiber sensing system was introduced. It consisted of a topsoil opener, a portable spectrophotometer (350-2500nm) and an optical fiber. Prediction models of total nitrogen (N), phosphorous (P), moisture content (MC), pH and organic matter (OM) were created in laboratory and validated by field testing. Soil samples were collected from 30 farmland blocks covering north of Zhejiang Province and south of Jiangsu Province, P.R. China. Partial least squares (PLS) regression with full cross-validation was used for calibration models building. The correlation coefficient of R2 between on-line and laboratory measurements of N, P, MC, pH and OM are 0.92, 0.78, 0.85, 0.83 and 0.76, respectively. The study shows the potential of using the optical fiber soil sensing system for next generation of precision farming.

Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins

2018 ◽  
Vol 72 (8) ◽  
pp. 1170-1182 ◽  
Author(s):  
Ana Garrido-Varo ◽  
Ana Sánchez-Bonilla ◽  
Francisco Maroto-Molina ◽  
Cecilia Riccioli ◽  
Dolores Pérez-Marín
Keyword(s):  
Near Infrared ◽  
Fiber Optic ◽  
Nir Spectroscopy ◽  
Conveyor Belt ◽  
Animal Origin ◽  
Processing Plant ◽  
Fiber Optic Cable ◽  
Operating Modes ◽  
On Line ◽  
Dynamic Operating

This research was conducted using a spectral database comprising 346 samples of processed animal proteins (PAPs) with a range of compositions, analyzed using a Fourier transform near-infrared spectroscopy multichannel instrument (Matrix-F, Bruker Optics) coupled to a 100 m fiber optic cable. Using both its static and dynamic operating modes (on a conveyor belt), simulating the movement of the product in the plant, the predictive capabilities of both modes of analysis were assessed and compared, for the purposes of predicting moisture, protein, and ashes. The results show that both exhibit highly similar degrees of precision and accuracy for predicting these parameters. This research provides a foundation of scientific-technical knowledge, hitherto unknown, regarding the “on-line” incorporation of an instrument (equipped with a 100 m fiber optic cable) into a processing plant of by-products of animal origin.

A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses

2003 ◽  
Vol 11 (4) ◽  
pp. 269-281 ◽  
Author(s):  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Bosoon Park ◽  
R. Jeff Buhr
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging System ◽  
Principal Component ◽  
Ccd Camera ◽  
Sample Population ◽  
Multivariate System ◽  
Ratio Image ◽  
On Line

A method and system for detecting faecal and ingesta contaminants on poultry carcasses were demonstrated. A visible/near infrared monochromator, which measured reflectance and principal component analysis were first used to identify key wavelengths from faecal and uncontaminated skin samples. Measurements at 434, 517, 565 and 628 nm were identified and used for evaluation with a hyperspectral imaging system. The hyperspectral imaging system, which was a line-scan (pushbroom) imaging system, consisted of a hyperspectral camera, fibre-optic line lights, a computer and frame grabber. The hyperspectral imaging camera consisted of a high-resolution charge coupled device (CCD) camera, a prism-grating-prism spectrograph, focusing lens, associated optical hardware and a motorised controller. The imaging system operated from about 400 to 900 nm. The hyperspectral imaging system was calibrated for wavelength, distance and percent reflectance and analysis of calibrated images at the key wavelengths indicated that single-wavelength images were inadequate for detecting contaminants. However, a ratio of images at two of the key wavelengths was able to identify faecal and ingesta contaminants. Specifically, the ratio of the 565-nm image divided by the 517-nm image produced good results. The ratio image was then further processed by masking the background and either enhancing the image contrast with a non-linear histogram stretch, or applying a faecal threshold. The results indicated that, for the limited sample population, more than 96% of the contaminants were detected. Thus, the hyperspectral imaging system was able to detect contaminants and showed feasibility, but was too slow for real-time on-line processing. Therefore, a multivariate system operating at 565 and 517 nm, which should be capable of operating at real-time on-line processing speed, should be used. Further research with such a system needs to be conducted.

Sign in / Sign up

Export Citation Format

Share Document