Relevant bibliographies by topics / NIR predictions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'NIR predictions'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "NIR predictions"

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Bray, J. G. P., R. Viscarra Rossel, and A. B. McBratney. "Diagnostic screening of urban soil contaminants using diffuse reflectance spectroscopy." Soil Research 47, no. 4 (2009): 433. http://dx.doi.org/10.1071/sr08068.

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There is increasing demand for cheap and rapid screening tests for soil contaminants in environmental consultancies. Diffuse reflectance spectroscopy (DRS) in the visible-near infrared (vis-NIR) and mid infrared (MIR) has the potential to meet this demand. The aims of this paper were to develop diagnostic screening tests for heavy metals and polycyclic aromatic hydrocarbons (PAH) in soil using vis-NIR and MIR DRS. Cadmium, copper, lead, and zinc were analysed, as were total PAH and benzo[a]pyrene. An ordinal logistic regression technique was used for the screening and predictions of either con
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VALDES, E. V., L. G. YOUNG, I. McMILLAN, and J. E. WINCH. "ANALYSIS OF HAY, HAYLAGE AND CORN SILAGE SAMPLES BY NEAR INFRARED REFLECTANCE SPECTROSCOPY." Canadian Journal of Animal Science 65, no. 3 (1985): 753–60. http://dx.doi.org/10.4141/cjas85-088.

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Separate calibrations for hay, haylage and corn silage were developed to predict chemical composition by near infrared reflectance spectroscopy (NIR). A scanning type of NIR instrument was used to select the best set of wavelengths (λ) while a filter type was used to evaluate the calibrations. Reflectance (R) was recorded as log (1/R). Bias (nonrandom error) was corrected for each set of samples before the NIR analysis. Percent crude protein (CP), acid detergent fiber (ADF), calcium (Ca) and phosphorus (P) were studied in the hay samples. In addition, potassium (K) and magnesium (Mg) were incl
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Parent, Elizabeth Jeanne, Serge-Étienne Parent, and Léon Etienne Parent. "Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling." PLOS ONE 16, no. 7 (2021): e0233242. http://dx.doi.org/10.1371/journal.pone.0233242.

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Accuracy of infrared (IR) models to measure soil particle-size distribution (PSD) depends on soil preparation, methodology (sedimentation, laser), settling times and relevant soil features. Compositional soil data may require log ratio (ilr) transformation to avoid numerical biases. Machine learning can relate numerous independent variables that may impact on NIR spectra to assess particle-size distribution. Our objective was to reach high IRS prediction accuracy across a large range of PSD methods and soil properties. A total of 1298 soil samples from eastern Canada were IR-scanned. Spectra w
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Pozza, L. E., T. F. A. Bishop, U. Stockmann, and G. F. Birch. "Integration of vis-NIR and pXRF spectroscopy for rapid measurement of soil lead concentrations." Soil Research 58, no. 3 (2020): 247. http://dx.doi.org/10.1071/sr19174.

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Heavy metals accumulate in soil over time and, with changing land use, humans may be exposed to elevated contaminant concentrations. It is therefore important to delineate contaminated sites in the most efficient and accurate manner. Sensors, such as portable X-ray fluorescence (pXRF) and visible near-infrared (vis-NIR) spectroscopy predict metal concentrations more rapidly and in a less hazardous manner compared to traditional laboratory analytical methods. The current study explored the potential for integrating vis-NIR and pXRF outputs to improve lead predictions in fine- (<62.5 µm)
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Yang, Meihua, Songchao Chen, Xi Guo, Zhou Shi, and Xiaomin Zhao. "Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping." Remote Sensing 15, no. 6 (2023): 1617. http://dx.doi.org/10.3390/rs15061617.

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Robust soil organic matter (SOM) mapping is required by farms, but their generation requires a large number of samples to be chemically analyzed, which is cost prohibitive. Recently, research has shown that visible and near-infrared (vis-NIR) reflectance spectroscopy is a fast and accurate technique for estimating SOM in a cost-effective manner. However, few studies have focused on using vis-NIR spectroscopy as a covariate to improve the accuracy of spatial modeling. In this study, our objective was to compare the mapping accuracy from a spatial model using kriging methods with and without the
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Xu, Qinghua, Menghua Qin, Yonghao Ni, Maurice Defo, Barbara Dalpke, and Gail Sherson. "Predictions of wood density and module of elasticity of balsam fir (Abies balsamea) and black spruce (Picea mariana) from near infrared spectral analyses." Canadian Journal of Forest Research 41, no. 2 (2011): 352–58. http://dx.doi.org/10.1139/x10-215.

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The predictions of properties for wood disc average are seldom reported, and they are important for sorting out logs based on their quality. The minimum near infrared (NIR) spectra required to predict wood disc average properties would also be of critical importance. In this study, calibration and prediction models for wood disc average properties were developed using NIR spectral data for balsam fir (Abies balsamea (L.) Mill.) and black spruce (Picea mariana (Mill.) B.S.P.) samples collected from 14 different sites across Newfoundland, Canada. The calibration was done against area-weighted av
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Maudoux, Marc, Shou He Yan, and Sonia Collin. "Quantitative Analysis of Alcohol, Real Extract, Original Gravity, Nitrogen and Polyphenols in Beers Using NIR Spectroscopy." Journal of Near Infrared Spectroscopy 6, A (1998): A363—A366. http://dx.doi.org/10.1255/jnirs.225.

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This study was to develop a rapid and accurate NIR analysis method for determinations of alcohol, real extract, original gravity, total nitrogen and total polyphenols. Commercial European beers (110 samples) were used to create calibration models between EBC (European Brewing Committee) and NIR spectral data. The optimal correlation coefficients ( r) were 0.94 to 0.98 and the corresponding CV% (coefficients of validation variation) were 4.29, 6.53, 4.50, 6.06 and 4.74 for NIR predictions of alcohol, real extract, original gravity, nitrogen and polyphenols, respectively. The stepwise MLR calibr
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Feng, Xiaoyu, Rebecca A. Larson, and Matthew F. Digman. "Evaluation of Near-Infrared Reflectance and Transflectance Sensing System for Predicting Manure Nutrients." Remote Sensing 14, no. 4 (2022): 963. http://dx.doi.org/10.3390/rs14040963.

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Livestock manure is widely applied onto agriculture soil to fertilize crops and increase soil fertility. However, it is difficult to provide real-time manure nutrient data based on traditional lab analyses during application. Manure sensing using near-infrared (NIR) spectroscopy is an innovative, rapid, and cost-effective technique for inline analysis of animal manure. This study investigated a NIR sensing system with reflectance and transflectance modes to predict N speciation in dairy cow manure using a spiking method. In this study, 20 dairy cow manure samples were collected and spiked to a
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Mammadov, Elton, Michael Denk, Amrakh I. Mamedov, and Cornelia Glaesser. "Predicting Soil Properties for Agricultural Land in the Caucasus Mountains Using Mid-Infrared Spectroscopy." Land 13, no. 2 (2024): 154. http://dx.doi.org/10.3390/land13020154.

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Visible-near infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy are increasingly being used for the fast determination of soil properties. The aim of this study was (i) to test the use of MIR spectra (Agilent 4300 FTIR Handheld spectrometer) for the prediction of soil properties and (ii) to compare the prediction performances of MIR spectra and Vis-NIR (ASD FieldSpecPro) spectra; the Vis-NIR data were adopted from a previous study. Both the MIR and Vis-NIR spectra were coupled with partial least squares regression, different pre-processing techniques, and the same 114 soil samples, collect
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Aaljoki, Kari. "Automated Quality Assurance of Online NIR Analysers." Journal of Automated Methods and Management in Chemistry 2005, no. 2 (2005): 44–49. http://dx.doi.org/10.1155/jammc.2005.44.

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Modern NIR analysers produce valuable data for closed-loop process control and optimisation practically in real time. Thus it is highly important to keep them in the best possible shape. Quality assurance (QA) of NIR analysers is an interesting and complex issue because it is not only the instrument and sample handling that has to be monitored. At the same time, validity of prediction models has to be assured. A system for fully automated QA of NIR analysers is described. The system takes care of collecting and organising spectra from various instruments, relevant laboratory, and process manag
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Dissertations / Theses on the topic "NIR predictions"

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Lomiwes, Dominic. "Rapid on-line Glycogen measurement and prediction of ultimate pH in slaughter beef." AUT University, 2008. http://hdl.handle.net/10292/970.

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The rapid determination of glycogen on indicator muscle immediately after slaughter is advantageous as it permits the prediction of a muscle’s ultimate pH (pHu) and allows the identification of high pHu meat carcasses by extrapolation. This thesis examines the development of two rapid glycogen determination methods. The first aim of this thesis was to find a new glucometer to replace the Bayer ESPRIT™ (Bayer) glucometer currently used in the Rapid pH (RpH) method. Roche’s Accuchek® Advantage II (Accuchek) and Abbott’s Medisense Optium™ (Medisense) glucometers were compared. Accuchek measuremen
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Romero, Danilo Jefferson. "Procedimento para uniformização de espectros de solos (VIS-NIR-SWIR)." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-07012016-165309/.

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As técnicas de sensoriamento remoto têm evoluído dentro da ciência do solo visando superar as limitações de tempo e custo das análises químicas tradicionalmente utilizadas para quantificação de atributos do solo. As análises espectrais há muito tempo têm provado serem alternativas para complementar às análises tradicionais, sendo consideradas atualmente uma técnica consolidada e de ampla utilização. Os estudos em pedologia espectral têm utilizado os comprimentos de onda entre 350 a 25000 nm, porém, têm se detido com mais frequência na região de 350 a 2500 nm, a qual é dividida em Visível (VIS
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Shan, Jiajia. "Prediction of Roasting Degrees and Chlorogenic Acid Concentration of Coffee by NIR Spectroscopy." Kyoto University, 2015. http://hdl.handle.net/2433/199343.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第19019号<br>農博第2097号<br>新制||農||1029(附属図書館)<br>学位論文||H27||N4901(農学部図書室)<br>31970<br>京都大学大学院農学研究科地域環境科学専攻<br>(主査)教授 近藤 直, 教授 清水 浩, 准教授 小川 雄一<br>学位規則第4条第1項該当
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Olewnik, Maureen Cecilia Noonan. "Predicting commercial scale baking quality characteristics of wheat and flour using NIR /." Search for this dissertation online, 2003. http://wwwlib.umi.com/cr/ksu/main.

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Joshi, Prabesh. "SUPERVISED CLASSIFICATION OF FRESH LEAFY GREENS AND PREDICTION OF THEIR PHYTOCHEMICAL CONTENTS USING NEAR INFRARED REFLECTANCE." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2467.

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There is an increasing need of automation for routine tasks like sorting agricultural produce in large scale post-harvest processing. Among different kinds of sensors used for such automation tasks, near-infrared (NIR) technology provides a rapid and effective solution for quantitative analysis of quality indices in food products. As industries and farms are adopting modern data-driven technologies, there is a need for evaluation of the modelling tools to find the optimal solutions for problem solving. This study aims to understand the process of evaluation of the modelling tools, in view of n
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McNulty, Christopher S. (Christopher Sean) 1976. "Spectral processing algorithms for predicting glucose concentration of various solutions from NIR absorbance spectroscopy." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80611.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 83-84).<br>by Christopher S. McNulty.<br>M.Eng.
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Ricks, David Leon. "Predicting NIF carryover at Public Works Centers." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23093.

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Saul, Kaelin E. "Development of NIR spectroscopy models for starch content prediction and ethanol production from mutant grain sorghum." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/32553.

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Master of Science<br>Biological & Agricultural Engineering<br>Donghai Wang<br>The growing demands for renewable energy sources have led researchers to investigate other biomass sources, aside from maize. Grain sorghum is comparable to maize in its starch content and can be grown in regions with drier climates, where maize is a less suitable crop for these areas. In attempts to increase yield prior to harvest and for ethanol production, this study focuses on mutant grain sorghum. One hundred and nine mutant grain sorghum samples were analyzed for their chemical and physical properties and fe
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Durgin, Gregory David. "Advanced Site-Specific Propagation Prediction Techniques." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36746.

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This thesis describes advanced techniques for site-specific propagation prediction. The need for accurate site-specific propagation is discussed in the context of current trends in the wireless industry. The first half of the report is dedicated to measuring and modeling continuous wave (CW) local-area path loss. Specifically, the text uses examples from a 5.85 GHz CW measurement campaign in and around suburban homes. Not only do these measurements demonstrate the validity of the original models and techniques presented in the thesis, but the results themselves may prove particularly usefu
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Keating, Marvin Scott. "Prediction of diet quality parameters of Rocky Mountain Elk via near infrared reflectance spectroscopy (NIRS) fecal profiling." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3949.

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The objective of this experiment was to determine the validity of predicting the diet quality of Rocky Mountain Elk (Cervus elaphus nelsoni) by exposing a dried fecal sample to light energy (a spectrophotometer). The resulting spectra measured were then compared to the known wet chemistry of the diet to arrive at an equation for forecasting the crude protein (CP) and digestible organic matter (DOM) ingested by the elk. Forages were gathered from western ranges and blended to simulate plant species ingested representing various elk diet qualities at different seasons of the year. Feeding trials
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Books on the topic "NIR predictions"

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M, Wallace John. El Nin o and climate prediction. National Oceanic and Atmosphere Administration, 1999.

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Ricks, David Leon. Predicting NIF carryover at Public Works Centers. Naval Postgraduate School, 1988.

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Kabushiki Kaisha. "Nihon no Ronten" Henshūbu Bungei Shunjū. Kyodai jishin: Ken'i 16-nin no keikoku. Bungei Shunjū, 2011.

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Wallace, John M. El Niño and climate prediction. National Oceanic and Atmosphere Administration, 1999.

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M, Wallace John. El Niño and climate prediction. [University Corporation for Atmospheric Research, Office for Interdisciplinary Earth Studies], 1994.

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Del Río Celestino, Mercedes, and Rafael Font Villa, eds. Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-7500-1.

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Sanderson, Benjamin Mark. Uncertainty Quantification in Multi-Model Ensembles. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.707.

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Long-term planning for many sectors of society—including infrastructure, human health, agriculture, food security, water supply, insurance, conflict, and migration—requires an assessment of the range of possible futures which the planet might experience. Unlike short-term forecasts for which validation data exists for comparing forecast to observation, long-term forecasts have almost no validation data. As a result, researchers must rely on supporting evidence to make their projections. A review of methods for quantifying the uncertainty of climate predictions is given. The primary tool for qu
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Damon, Cynthia. Writing with Posterity in Mind. Edited by Sara Forsdyke, Edith Foster, and Ryan Balot. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199340385.013.43.

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Thucydides and Tacitus are both uncomfortable authors whose unsparing commitment to revealing the truth results in grim depictions of the amoral deployment of political power—power for the sake of power—in idiosyncratic and difficult idioms. However, Tacitus never announces a program of Thucydides-imitation, whether pertaining to methodology or theme. Nor do ancient commentators link Tacitus to his Greek predecessor. Nevertheless, the two are much alike in important aspects of their historiographical achievements. The chapter explores a pair of passages in which the two historians treat one of
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Willmott, H. P. When Men Lost Faith in Reason. Greenwood Publishing Group, Inc., 2002. http://dx.doi.org/10.5040/9798216034926.

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This examination of the history of the 20th century and the place of war in its unfolding presents a radical, unorthodox interpretation of both. With provision for seeing 1945 as the proper starting point for the 20th century and 1968 as the year that marked the end of the Age of Reason, this provocative study portrays the First World War as the first war of the 20th century and the Second World War as the last war of the 19th. It also provides a counterview of the Second World War as merely one part of a series of conflicts that lasted between 1931 and 1975 and the Cold War as the time when r
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Neligan, Patrick J., and Clifford S. Deutschman. Management of metabolic acidosis in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0256.

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Metabolic acidosis (MA) commonly complicates critical illness, usually manifesting as a fall in arterial pH (&lt;7.4) accompanied by a concomitant fall in serum bicarbonate concentration. Acidosis caused by unmeasured anions (UMA), can be distinguished from Hyperchloraemic acidosis by demonstrating a widening of the anion gap (AG). AG should be corrected for albumin and lactate. The base deficit (BD) calculates degree of metabolic acidosis and represents the amount of strong cation required to restore the pH to 7.4. Neither the AG nor the BD specify the cause of acidosis, and are unhelpful in
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Book chapters on the topic "NIR predictions"

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Robert, Pauline, Charlotte Brault, Renaud Rincent, and Vincent Segura. "Phenomic Selection: A New and Efficient Alternative to Genomic Selection." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_14.

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AbstractRecently, it has been proposed to switch molecular markers to near-infrared (NIR) spectra for inferring relationships between individuals and further performing phenomic selection (PS), analogous to genomic selection (GS). The PS concept is similar to genomic-like omics-based (GLOB) selection, in which molecular markers are replaced by endophenotypes, such as metabolites or transcript levels, except that the phenomic information obtained for instance by near-infrared spectroscopy (NIRS) has usually a much lower cost than other omics. Though NIRS has been routinely used in breeding for several decades, especially to deal with end-product quality traits, its use to predict other traits of interest and further make selections is new. Since the seminal paper on PS, several publications have advocated the use of spectral acquisition (including NIRS and hyperspectral imaging) in plant breeding towards PS, potentially providing a scope of what is possible. In the present chapter, we first come back to the concept of PS as originally proposed and provide a classification of selected papers related to the use of phenomics in breeding. We further provide a review of the selected literature concerning the type of technology used, the preprocessing of the spectra, and the statistical modeling to make predictions. We discuss the factors that likely affect the efficiency of PS and compare it to GS in terms of predictive ability. Finally, we propose several prospects for future work and application of PS in the context of plant breeding.
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Ye, Zijian, and Yi Mou. "Crayfish Quality Analysis Based on SVM and Infrared Spectra." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_99.

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AbstractDifferent algorithms combined with Near-infrared spectroscopy were investigated for the detection and classification of crayfish quality. In this study, the crawfish quality was predicted by partial least square-support vector machine, principal component analysis-support vector machine, BP neural network and support vector machine after pre-processing the NIR spectral data of crawfish. The result shows that the accuracy of near-infrared spectroscopy technology combined with SVM to classify crayfish quality can reach 100%, and the prediction can guide the sampling of crayfish food safety in practice, thus improving food safety and quality.
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El-Dib, Mohamed. "Near-Infrared Spectroscopy (NIRS)." In Neonatal Brain Injury. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-55972-3_17.

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AbstractNear-infrared spectroscopy (NIRS) is a non-invasive technique that can measure tissue oxygen saturation in organs such as the brain, kidney, and intestine. By monitoring changes in the attenuation of near-infrared light passing through the brain, NIRS can provide cerebral regional oxygen saturation measurements (CrSO2). NIRS has been used in neonatal intensive care units (NICUs) for various indications, including monitoring extremely premature infants and neonates with encephalopathy, congenital heart disease (CHD), anemia, respiratory support, and CNS injuries. Factors such as device type, sensor position, head position, and care procedures can affect NIRS measurements. NIRS has demonstrated potential in reducing cerebral hypoxia and predicting outcomes in neonatal encephalopathy and CHD. It is also being used in anesthesia and surgery settings. Proper training and monitoring are necessary to minimize complications associated with NIRS monitoring. NIRS provides valuable insights into cerebral perfusion and oxygenation, aiding in personalized care and neuroprotection in newborns.
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Shi, Yang, Rujing Wang, and Yubing Wang. "Soil Organic Carbon Prediction Using Vis-NIR Spectroscopy with a Large Dataset." In Computer and Computing Technologies in Agriculture XI. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06137-1_8.

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Parab, Jivan, M. Sequeira, R. S. Gad, and G. M. Naik. "Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue." In Biomedical Engineering and Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21726-6_9.

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Sengupta, Reshma, Anil Kumar Bag, Bipan Tudu, and Rajib Bandyopadhyay. "Machine Learning Approach of Polyphenol Content Prediction for Fresh Tea Leaves Using NIR Spectroscopy." In Springer Proceedings in Information and Communication Technologies. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-5157-0_39.

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Saha, Dhritiman, T. Senthilkumar, Chandra B. Singh, and Annamalai Manickavasagan. "Application of Near-Infrared (NIR) Hyperspectral Imaging System for Protein Content Prediction in Chickpea Flour." In Agriculture-Centric Computation. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43605-5_11.

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Jain, Sarika, and Pooja Harde. "NER-IPL: Indian Legal Prediction Dataset for Named Entity Recognition." In Lecture Notes in Operations Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61589-4_4.

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Yi, Xin, and Ling Li. "Research on Trajectory Prediction of Near Space Target Based on NAR Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_613.

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Sun, Tong, Wenli Xu, Xiao Wang, and Muhua Liu. "Improvement of Soluble Solids Content Prediction in Navel Oranges by Vis/NIR Semi-Transmission Spectra and UVE-GA-LSSVM." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54930-4_37.

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Conference papers on the topic "NIR predictions"

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Gallios, Ioannis, and Nikolaos Tziolas. "Synergistic Use of Low-Cost Nir Scanner and Geospatial Covariates to Enhance Soil Organic Carbon Predictions Using Dual Input Deep Learning Techniques." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640665.

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Iqbal, Imam M., Xinyu Wang, Isabell Viedt, and Leonhard Urbas. "Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting Plant." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.130911.

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Many small and medium enterprises (SME) often fail to fully utilize the data they collect due to a lack of technical expertise. The ecoKI platform, a low-code solution that simplifies machine learning application for SMEs, showed a promising answer to the challenge. This study explores the application of ecoKI platform to design process monitoring tools for waste sorting plants. NIR separator data were processed through ecoKI�s building blocks to train two neural network architectures�MLP and LSTM�for predicting NIR separation efficiency. The results showed that the models accurately predicted
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Kumar, Bhawnesh, Umesh Kumar Tiwari, and Dinesh C. Dobhal. "NFR Elicitation and Priority Prediction in ASD." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870641.

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Kumar, Praveen, Manika Gupta, Priyanka Priyanka, Anuj Kumar Dubey, and Varun Dutt. "Predicting NIRF Ranking via Novel K-Star Ensembles." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724404.

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Zheng, Aotian, Jenq-Neng Hwang, Yudong Liu, et al. "Automatic Fish Age Prediction Using Deep Machine Learning: Combining Otolith Image, FT-NIR Spectra and Metadata Features." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, 2025. https://doi.org/10.1109/wacvw65960.2025.00165.

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Yun, Jushik, Manuel Marya, and Alireza Zolfaghari. "Methodologies to Predict the Operational Limits of Nonmetallic Materials in Well Applications: the Cases of Hydrocarbon Production and Carbon Dioxide Sequestration." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-20049.

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Abstract This paper introduces a novel methodology for predicting the lifetime of nonmetallic materials exposed to downhole environments, including high and low pH, H2S, H2, CO2, and brines. The methodology was developed based on fundamental material principles, including viscoelasticity, hyperelasticity, and chemical/physical degradation from laboratory aging tests, field data, and finite-element analyses. This paper describes four case studies that show this methodology's effectiveness in defining the operational limits of polymeric materials. They cover 1) a fluoroelastomer O-ring from an o
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Al-Nasr, Ashar Seif, Ahmed Darweesh, Samir Abozyd, Bassem Mortada, and Yasser M. Sabry. "Dual-Modality Machine Learning: Enhancing Predictions with NIR Spectra and Interferogram Data Fusion." In 2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI). IEEE, 2024. http://dx.doi.org/10.1109/icmisi61517.2024.10580341.

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Bazar, George, Zoltan Kovacs, and Isabel Hoffmann. "Detection of beef aging combined with the differentiation of tenderloin and sirloin using a handheld NIR scanner." In OCM 2017 - 3rd International Conference on Optical Characterization of Materials. KIT Scientific Publishing, 2017. http://dx.doi.org/10.58895/ksp/1000063696-3.

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There is an expressed need for non-destructive userfriendly tools that can help customers and various stakeholders of the food market to identify and qualify samples rapidly and accurately. The identification of high quality meat cuts and the determination of aging are important challenges where handheld near infrared spectroscopy can provide perfect solutions. The objective of this study was to develop multivariate models for differentiation of beef cuts and prediction of the aging time based on the NIR spectra acquired with a handheld Tellspec Enterprise Food Sensor. Sirloin and tenderloin s
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Sutar, Ashish, Anandvinod Dalmiya, Manaf Sheyyab, et al. "Prospects for Low-Resolution NDIR Sensors to Discern Ignition Properties of Fuels." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-104214.

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Abstract The cetane number is an important fuel property to consider for compression ignition engines as it is a measure of a fuel’s ignition delay. Derived cetane number (DCN) already varies significantly within jet fuels. With the expected increasing prevalence of alternative jet fuels, additional variability is expected. DCN is usually assigned to fuels using ASTM methods that use large equipment like the Ignition Quality Tester (IQT), which consumes a lot of fuel and is cumbersome to operate. Over the last decade, there have been advances in the development of chemometric models, which use
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Cheng, Bo, Steven Price, Xibing Gong, James Lydon, Kenneth Cooper, and Kevin Chou. "Speed Function Effects in Electron Beam Additive Manufacturing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36664.

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In this paper, the process parameter effects on the thermal characteristics in powder-bed electron beam additive manufacturing (EBAM) using Ti-6Al-4V powder were investigated. The machine-specific setting, called “speed function” (SF) index that controls the beam speed and the beam current during a build, was utilized to evaluate the beam scanning speed effects. EBAM parts were fabricated using different levels of SF index (20 to 65) and build surface morphology and part microstructures were examined. A near infrared (NIR) thermal imager was used for temperatures measurements during the EBAM p
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Reports on the topic "NIR predictions"

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Frydman, Roman, and Joshua Stillwagon. Market Participants Neither Commit Predictable Errors nor Conform to REH: Evidence from Survey Data of Inflation Forecasts. Institute for New Economic Thinking Working Paper Series, 2021. http://dx.doi.org/10.36687/inetwp163.

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We develop a novel characterization of participants’ forecasts with a mixture of normal variables arising from a Markov component. Using this characterization, we formulate five behavioral specifications, including four implied by the diagnostic expectations approach, as well as three implied by REH, and derive several new predictions for Coibion and Gorodnichenko.s regression of forecast errors on forecast revisions. Predictions of all eight specifications are inconsistent with the observed instability of individual CG regressions’ coefficients, based on inflation forecasts from 24 profession
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Ginis, Isaac, Deborah Crowley, Peter Stempel, and Amanda Babson. The impact of sea level rise during nor?easters in New England: Acadia National Park, Boston Harbor Islands, Boston National Historical Park, and Cape Cod National Seashore. National Park Service, 2024. http://dx.doi.org/10.36967/2304306.

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This study examines the potential impact of sea level rise (SLR) caused by climate change on the effects of extratropical cyclones, also known as nor?easters, in four New England coastal parks: Acadia National Park (ACAD), Boston Harbor Islands National Recreation Area (BOHA), Boston National Historical Park (BOST) and Cape Cod National Seashore (CACO). A multi-method approach is employed, including a literature review, observational data analysis, coupled hydrodynamic-wave numerical modeling, 3D visualizations, and communication of findings. The literature review examines previous studies of
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Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is
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Maslo, Brooke, Morgan Mark, Kathleen Kerwin, et al. Habitat use and foraging ecology of bats in Morristown National Historical Park: Effects of invasive vegetation. National Park Service, 2024. http://dx.doi.org/10.36967/2303689.

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Temperate insectivorous bats value high prey abundance and appropriate vegetative structure when selecting foraging habitats. Forests, particularly in the eastern United States, provide prime foraging habitats for bats but can be heavily impacted by non-native plants, which may alter arthropod diversity and abundance, as well as vegetative structure. To investigate associations between non-native plants and insect abundance, vegetative structure, and consequently bat activity, we performed vegetation surveys, insect trapping, and acoustic monitoring at 23 forested plots in northern New Jersey,
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Landau, Sergei Yan, John W. Walker, Avi Perevolotsky, Eugene D. Ungar, Butch Taylor, and Daniel Waldron. Goats for maximal efficacy of brush control. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7587731.bard.

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Background. Brush encroachment constitutes a serious problem in both Texas and Israel. We addressed the issue of efficacy of livestock herbivory - in the form of goat browsing - to change the ecological balance to the detriment of the shrub vegetation. Shrub consumption by goats is kept low by plant chemical defenses such as tannins and terpenes. Scientists at TAES and ARO have developed an innovative, cost-effective methodology using fecal Near Infrared Spectrometry to elucidate the dietary percentage of targeted, browse species (terpene-richredberry and blueberry juniper in the US, and tanni
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Minz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson, and Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7598153.bard.

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Research objectives : Identify genetic potential and community structure of soil and rhizosphere microbial community structure as affected by treated wastewater (TWW) irrigation. This objective was achieved through the examination soil and rhizosphere microbial communities of plants irrigated with fresh water (FW) and TWW. Genomic DNA extracted from soil and rhizosphere samples (Minz laboratory) was processed for DNA-based shotgun metagenome sequencing (Green laboratory). High-throughput bioinformatics was performed to compare both taxonomic and functional gene (and pathway) differences betwee
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Vargas-Herrera, Hernando, Juan José Ospina, Carlos Alfonso Huertas-Campos, et al. Informe de Política Monetaria - Julio de 2021. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3.-2021.

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1.1 Resumen macroeconómico En el segundo trimestre la economía enfrentó varios choques, principalmente de oferta y de costos, la mayoría de los cuales no fueron anticipados, o los previstos fueron más persistentes de lo esperado, y que en conjunto interrumpieron la recuperación de la actividad económica observada a comienzos de año y llevaron la inflación total a niveles superiores a la meta. La inflación básica (sin alimentos ni regulados: SAR) aumentó, pero se mantuvo baja y acorde con lo esperado por el equipo técnico. A comienzos de abril se inició una tercera ola de pandemia, más acentuad
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