Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics

Corrigendum to “Quality assessment of olive oils based on temperature-ramped HS-GC-IMS and sensory evaluation: Comparison of different processing approaches by LDA, kNN, and SVM”

(2019) Natalie Gerhardt et al.   FOOD CHEMISTRY

Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products

(2018) Puneet Mishra et al.   JOURNAL OF FOOD ENGINEERING

Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared Sensors

(2018) Pengcheng Nie et al.   SENSORS

Application of hyperspectral imaging and chemometrics for variety classification of maize seeds

(2018) Yiying Zhao et al.   RSC Advances

Uses of selection strategies in both spectral and sample spaces for classifying hard and soft blueberry using near infrared data

(2018) Menghan Hu et al.   Scientific Reports

Identification of coffee bean varieties using hyperspectral imaging: influence of preprocessing methods and pixel-wise spectra analysis

(2018) Chu Zhang et al.   Scientific Reports

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

(2018) Zhengjun Qiu et al.   Applied Sciences-Basel

Chemometrics in analytical chemistry—part II: modeling, validation, and applications

(2018) Richard G. Brereton et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Detection of ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging

(2017) T. Senthilkumar et al.   INFRARED PHYSICS & TECHNOLOGY

Identification and Classification of Three Iranian Rice Varieties in Mixed Bulks Using Image Processing and MLP Neural Network

(2017) Saeideh Fayyazi et al.   International Journal of Food Engineering

Multivariate modeling for detecting adulteration of extra virgin olive oil with soybean oil using fluorescence and UV–Vis spectroscopies: A preliminary approach

(2017) Karla Danielle Tavares Melo Milanez et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis

(2017) Xuping Feng et al.   SENSORS

Identification and Classification of Three Iranian Rice Varieties in Mixed Bulks Using Image Processing and MLP Neural Network

(2017) Saeideh Fayyazi et al.   International Journal of Food Engineering

Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging

(2017) Xuping Feng et al.   Scientific Reports

Performance evaluation of a model for the classification of contaminants from wheat using near-infrared hyperspectral imaging

(2016) Lankapalli Ravikanth et al.   BIOSYSTEMS ENGINEERING

Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans

(2016) Chu Zhang et al.   Food and Bioprocess Technology

Chemometric analysis for discrimination of extra virgin olive oils from whole and stoned olive pastes

(2016) Michele De Luca et al.   FOOD CHEMISTRY

Near Infrared Spectroscopy in Wildlife and Biodiversity

(2016) Carrie K. Vance et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Assessment of seed quality using non-destructive measurement techniques: a review

(2016) Anisur Rahman et al.   SEED SCIENCE RESEARCH

Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging

(2016) Min Huang et al.   Applied Sciences-Basel

Classification of contaminants from wheat using near-infrared hyperspectral imaging

(2015) Lankapalli Ravikanth et al.   BIOSYSTEMS ENGINEERING

Study on identification of rice seeds by chemical oscillation fingerprints

(2015) Guangyu Li et al.   RSC Advances

Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification

(2012) Hong-Dong Li et al.   ANALYTICA CHIMICA ACTA

Classification of oat and groat kernels using NIR hyperspectral imaging

(2012) Silvia Serranti et al.   TALANTA

Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy

(2010) J.S. Ribeiro et al.   TALANTA

Recent advances in techniques for hyperspectral image processing

(2009) Antonio Plaza et al.   REMOTE SENSING OF ENVIRONMENT

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Wheat class identification using monochrome images

(2007) A. Manickavasagan et al.   JOURNAL OF CEREAL SCIENCE