Non-destructive detection of egg qualities based on hyperspectral imaging

Article Food Science & Technology

Fast online estimation of quail eggs freshness using portable NIR spectrometer and machine learning

Yasmin Lima Brasil et al.

Summary: This study demonstrated that Egg Quality Index (EQI) is the best way to express the freshness of quail eggs, and portable NIR spectrometer shows potential for monitoring quail eggs freshness with good predictive capacity.

FOOD CONTROL (2022)

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Article Food Science & Technology

Classification of tea varieties based on fluorescence hyperspectral image technology and ABC-SVM algorithm

Hussain Ahmad et al.

Summary: The study introduced a rapid and non-destructive method for classifying tea varieties using fluorescence hyperspectral imaging technology and the CARS-ABC-SVM algorithm, achieving high accuracy in classification.

JOURNAL OF FOOD PROCESSING AND PRESERVATION (2021)

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Article Engineering, Chemical

On-line monitoring of egg freshness using a portable NIR spectrometer in tandem with machine learning

J. P. Cruz-Tirado et al.

Summary: The study evaluated the performance of a small and cost-effective portable NIR spectrometer for estimating the freshness of eggs online. SVM-R model in the spectral region of 1300-1690 nm showed the best results with a relative error of 7.32% and RPD of 2.56. PLS-DA presented better results than SVM-C for the classification of fresh and stale eggs, with an accuracy of 87.0%.

JOURNAL OF FOOD ENGINEERING (2021)

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Article Engineering, Chemical

Nondestructive detection for Panax notoginseng powder grades based on hyperspectral imaging technology combined with CARS-PCA and MPA-LSSVM

Kunshan Yao et al.

Summary: This study explores the feasibility of using hyperspectral imaging technology to detect grades of Panax notoginseng powder. By combining CARS and PCA methods to process the spectral data, the MPA-LSSVM model shows higher accuracy and robustness in grade detection.

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Article Engineering, Electrical & Electronic

Short-term load forecasting of industrial customers based on SVMD and XGBoost

Yuanyuan Wang et al.

Summary: An adaptive decomposition method based on VMD and SampEn (SVMD) is proposed for short-term load forecasting for industrial customers, combining XGBoost and linear regression models to establish prediction models. Relevant factors influencing industrial customers' electricity consumption behavior are considered to enhance accuracy, and test results show that the method significantly outperforms existing load forecasting models.

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XGBoost-based method for flash flood risk assessment

Meihong Ma et al.

Summary: This study introduced the XGBoost model for flash flood risk assessment and validated its effectiveness by combining with other models. Through attribution analysis and risk map generation, it successfully demonstrated the accuracy and practicality of XGBoost in risk assessment.

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Image smoothing based on histogram equalized content-aware patches and direction-constrained sparse gradients

Yepeng Liu et al.

Summary: The proposed method utilizes histogram equalized content-aware patches and direction-constrained sparse gradients to better remove textures with larger gradients while preserving structural edges with smaller gradients. By introducing boundary-constrained patching technology and patch classification based on edge information, the method achieves improved texture removal and edge preservation.

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Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms

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Summary: This study establishes prediction models for daily confirmed infected cases in America using LSTM and XGBoost algorithms, evaluating the fitting effect with performance parameters. Results suggest that reducing the contact rate between susceptible and infected individuals by isolating the uninfected individuals, combined with restrictive social distancing and contact tracing, can effectively reduce the number of daily confirmed cases.

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A steel property optimization model based on the XGBoost algorithm and improved PSO

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COMPUTATIONAL MATERIALS SCIENCE (2020)

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Nondestructive VIS/NIR spectroscopy estimation of intravitelline vitamin E and cholesterol concentration in hen shell eggs

Shinichiro Kuroki et al.

JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION (2020)

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Egg freshness prediction using a comprehensive analysis based on visible near infrared spectroscopy

Xiaoguang Dong et al.

SPECTROSCOPY LETTERS (2020)

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Nondestructive determination of the total mold colony count in green tea by hyperspectral imaging technology

Yan Cao et al.

JOURNAL OF FOOD PROCESS ENGINEERING (2020)

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Research on moldy tea feature classification based on WKNN algorithm and NIR hyperspectral imaging

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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2019)

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Defect detection in eggshell using a vision system to ensure the incubation in poultry production

R. Mota-Grajales et al.

MEASUREMENT (2019)

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Visualizing distribution of moisture content in tea leaves using optimization algorithms and NIR hyperspectral imaging

Jun Sun et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

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Review Chemistry, Applied

Egg quality and safety with an overview of edible coating application for egg preservation

Abdulhakim Sharaf Eddin et al.

FOOD CHEMISTRY (2019)

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Grade Identification of Tieguanyin Tea Using Fluorescence Hyperspectra and Different Statistical Algorithms

Yating Li et al.

JOURNAL OF FOOD SCIENCE (2019)

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Article Agriculture, Multidisciplinary

Maintaining the predictive abilities of egg freshness models on new variety based on VIS-NIR spectroscopy technique

Xiaoguang Dong et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

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Article Food Science & Technology

Prediction and visualisation of S-ovalbumin content in egg whites using hyperspectral images

Dan Dan Fu et al.

INTERNATIONAL JOURNAL OF FOOD PROPERTIES (2019)

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Crack detection on unwashed eggs using image processing

Jetsadaporn Priyadumkol et al.

JOURNAL OF FOOD ENGINEERING (2017)

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Article Engineering, Chemical

Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour

Wen-Hao Su et al.

JOURNAL OF FOOD ENGINEERING (2017)

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Article Food Science & Technology

Quality Assessment of Poultry Egg Based on Visible-Near Infrared Spectroscopy and Radial Basis Function Networks

Mohammad Aboonajmi et al.

INTERNATIONAL JOURNAL OF FOOD PROPERTIES (2016)

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Article Engineering, Chemical

Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis

Wei Zhang et al.

JOURNAL OF FOOD ENGINEERING (2015)

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Article Chemistry, Analytical

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration

Yong-Huan Yun et al.

ANALYTICA CHIMICA ACTA (2014)

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Article Food Science & Technology

PREDICTION OF POULTRY EGG FRESHNESS USING VIS-NIR SPECTROSCOPY WITH MAXIMUM LIKELIHOOD METHOD

Mohammad Aboonajmi et al.

INTERNATIONAL JOURNAL OF FOOD PROPERTIES (2014)

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Article Optics

Particle swarm optimized multi-objective histogram equalization for image enhancement

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OPTICS AND LASER TECHNOLOGY (2014)

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Review Food Science & Technology

Hyperspectral imaging as an effective tool for quality analysis and control of fish and other seafoods: Current research and potential applications

Jun-Hu Cheng et al.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2014)

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The Laplacian of Gaussian and arbitrary z-crossings approach applied to automated single particle reconstruction

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JOURNAL OF STRUCTURAL BIOLOGY (2007)

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Article Agriculture, Dairy & Animal Science

Dirt detection on brown eggs by means of color computer vision

K Mertens et al.

POULTRY SCIENCE (2005)

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Article Agriculture, Dairy & Animal Science

Non-destructive measurements of the egg quality

B De Ketelaere et al.

WORLDS POULTRY SCIENCE JOURNAL (2004)

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Non-destructive detection of egg qualities based on hyperspectral imaging

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