# Spectroscopy and Chemometric Analyses

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers covers a wide range of topics in chemometrics, with a focus on applications in analytical chemistry and food technology. It includes methods such as near-infrared spectroscopy, multivariate calibration, hyperspectral imaging, variable selection, and machine vision for quality assessment and food authentication. |
| Domain | Physical Sciences |
| Field | Chemistry |
| OpenAlex ID | t10640 |
| Works | 460 |

## Topic papers all

Showing 15 of 460.

- [A review of variable selection methods in Partial Least Squares Regression](https://scholariq.org/papers/a-review-of-variable-selection-methods-in-partial-least-squares-regression/)
- [A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition](https://scholariq.org/papers/a-robust-deep-learning-based-detector-for-real-time-tomato-plant-diseases-and/)
- [Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose](https://scholariq.org/papers/evaluating-clinical-accuracy-of-systems-for-self-monitoring-of-blood-glucose/)
- [Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture](https://scholariq.org/papers/recent-advances-of-hyperspectral-imaging-technology-and-applications-in/)
- [Linear discriminant analysis: A detailed tutorial](https://scholariq.org/papers/linear-discriminant-analysis-a-detailed-tutorial/)
- [Theory and application of near infrared reflectance spectroscopy in determination of food quality](https://scholariq.org/papers/theory-and-application-of-near-infrared-reflectance-spectroscopy-in/)
- [Plant Disease Detection and Classification by Deep Learning](https://scholariq.org/papers/plant-disease-detection-and-classification-by-deep-learning/)
- [Discarding or downweighting high-noise variables in factor analytic models](https://scholariq.org/papers/discarding-or-downweighting-high-noise-variables-in-factor-analytic-models/)
- [ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network](https://scholariq.org/papers/toled-tomato-leaf-disease-detection-using-convolution-neural-network/)
- [Advanced Spectral Classifiers for Hyperspectral Images: A review](https://scholariq.org/papers/advanced-spectral-classifiers-for-hyperspectral-images-a-review/)
- [Deep feature based rice leaf disease identification using support vector machine](https://scholariq.org/papers/deep-feature-based-rice-leaf-disease-identification-using-support-vector-machine/)
- [Infrared spectroscopic imaging for histopathologic recognition](https://scholariq.org/papers/infrared-spectroscopic-imaging-for-histopathologic-recognition/)
- [Application of Deep Learning in Food: A Review](https://scholariq.org/papers/application-of-deep-learning-in-food-a-review/)
- [Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization](https://scholariq.org/papers/feature-selection-based-on-hybridization-of-genetic-algorithm-and-particle-swarm/)
- [An advanced deep learning models-based plant disease detection: A review of recent research](https://scholariq.org/papers/an-advanced-deep-learning-models-based-plant-disease-detection-a-review-of/)

## Topic primary papers

Showing 15 of 82.

- [A review of variable selection methods in Partial Least Squares Regression](https://scholariq.org/papers/a-review-of-variable-selection-methods-in-partial-least-squares-regression/)
- [Theory and application of near infrared reflectance spectroscopy in determination of food quality](https://scholariq.org/papers/theory-and-application-of-near-infrared-reflectance-spectroscopy-in/)
- [Handbook of Food Analytical Chemistry](https://scholariq.org/papers/handbook-of-food-analytical-chemistry/)
- [So you think you can PLS-DA?](https://scholariq.org/papers/so-you-think-you-can-pls-da/)
- [Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR-spectroscopy techniques](https://scholariq.org/papers/non-destructive-measurement-of-acidity-soluble-solids-and-firmness-of-satsuma/)
- [Fruit Quality Evaluation Using Spectroscopy Technology: A Review](https://scholariq.org/papers/fruit-quality-evaluation-using-spectroscopy-technology-a-review/)
- [Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network](https://scholariq.org/papers/variety-identification-of-single-rice-seed-using-hyperspectral-imaging-combined/)
- [Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy](https://scholariq.org/papers/quantitative-detection-of-apple-watercore-and-soluble-solids-content-by-near/)
- [A review on chemometric techniques with infrared, Raman and laser-induced breakdown spectroscopy for sorting plastic waste in the recycling industry](https://scholariq.org/papers/a-review-on-chemometric-techniques-with-infrared-raman-and-laser-induced/)
- [Comparison of variable selection methods in partial least squares regression](https://scholariq.org/papers/comparison-of-variable-selection-methods-in-partial-least-squares-regression/)
- [Maturity status classification of papaya fruits based on machine learning and transfer learning approach](https://scholariq.org/papers/maturity-status-classification-of-papaya-fruits-based-on-machine-learning-and/)
- [The diversity in the applications of partial least squares: an overview](https://scholariq.org/papers/the-diversity-in-the-applications-of-partial-least-squares-an-overview/)
- [Sensors and Instruments for Brix Measurement: A Review](https://scholariq.org/papers/sensors-and-instruments-for-brix-measurement-a-review/)
- [Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion](https://scholariq.org/papers/hyperspectral-imaging-for-accurate-determination-of-rice-variety-using-a-deep/)
- [Prediction of soybean price in China using QR-RBF neural network model](https://scholariq.org/papers/prediction-of-soybean-price-in-china-using-qr-rbf-neural-network-model/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.