Rapid and Uninvasive Characterization of Bananas by Hyperspectral Imaging with Extreme Gradient Boosting (XGBoost)

A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy

(2020) Guodong Wang et al.   PLASMA SCIENCE & TECHNOLOGY

Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging

(2020) Yu‐Jie Wang et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

GC-MS based targeted metabolomics approach for studying the variations of phenolic metabolites in artificially ripened banana fruits

(2020) Maheshwari Tallapally et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging

(2020) Chu Zhang et al.   FOOD CHEMISTRY

Prediction of dry matter content of recently harvested ‘Hass’ avocado fruits using hyperspectral imaging

(2020) Diaz Jhon Jairo Vega et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost

(2020) Setthanun Thongsuwan et al.   Nuclear Engineering and Technology

Determination of 2‐chloroethylphosphonic acid and its intermediate vinylphosphonic acid from artificially ripened sapota fruit by modified dispersive solid phase extraction clean‐up and GC/MS analysis

(2020) Madhu Vemula et al.   RAPID COMMUNICATIONS IN MASS SPECTROMETRY

Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study

(2020) José Francielson Q. Pereira et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Assessment of Intramuscular Fat Quality in Pork Using Hyperspectral Imaging

(2020) Christopher T. Kucha et al.   Food Engineering Reviews

Non-Destructive Technologies for Detecting Insect Infestation in Fruits and Vegetables under Postharvest Conditions: A Critical Review

(2020) Akinbode A. Adedeji et al.   Foods

Machine Learning Driven Synthesis of Carbon Dots with Enhanced Quantum Yields

(2020) Yu Han et al.   ACS Nano

Assessment of Strawberry Ripeness Using Hyperspectral Imaging

(2020) Yuanyuan Shao et al.   ANALYTICAL LETTERS

Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm

(2020) Quan Zhou et al.   INFRARED PHYSICS & TECHNOLOGY

Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics

(2020) Reddy R. Pullanagari et al.   JOURNAL OF FOOD ENGINEERING

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

(2020) Yuzhen Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Tracing of Chemical Components of Odor in Peels and Flesh from Ripe Banana on a Daily Basis Using GC-MS Characterization and Statistical Analysis for Quality Monitoring During Storage

(2019) Jian Zhang et al.   Food Analytical Methods

Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling

(2019) Puneet Mishra et al.   JOURNAL OF FOOD ENGINEERING

Optimization of Fish Quality by Evaluation of Total Volatile Basic Nitrogen (TVB-N) and Texture Profile Analysis (TPA) by Near-Infrared (NIR) Hyperspectral Imaging

(2019) Xue Wang et al.   ANALYTICAL LETTERS

Improving data splitting for classification applications in spectrochemical analyses employing a random-mutation Kennard-Stone algorithm approach

(2019) Camilo L M Morais et al.   BIOINFORMATICS

NIR spectroscopic method for the detection of calcium carbide in artificial ripening of mangoes (Magnifera indica)

(2019) Ankita Jagannath Lakade et al.   Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure & Risk Assessment

Ripeness Classification of Bananito Fruit ( Musa acuminata, AA): a Comparison Study of Visible Spectroscopy and Hyperspectral Imaging

(2019) Yuan-Yuan Pu et al.   Food Analytical Methods

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

(2019) Di Wu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Protective effect of aged garlic extracts against hepatotoxicity induced by ethephon in Wistar albino rat

(2019) Ashraf Al-Brakati   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Shape induced reflectance correction for non-destructive determination and visualization of soluble solids content in winter jujubes using hyperspectral imaging in two different spectral ranges

(2019) Yiying Zhao et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Detection of maize drought based on texture and morphological features

(2018) Boran Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Application of Vis/SNIR hyperspectral imaging in ripeness classification of pear

(2017) Rasool Khodabakhshian et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Method for detection and removal of arsenic residues in calcium carbide ripened mangoes

(2017) Reena Chandel et al.   JOURNAL OF FOOD PROCESSING AND PRESERVATION

Hyperspectral reflectance imaging combined with chemometrics and successive projections algorithm for chilling injury classification in peaches

(2017) Ye Sun et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

The successive projections algorithm

(2012) Sófacles Figueredo Carreiro Soares et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY