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Prediction of color and moisture content for vegetable soybean during drying using hyperspectral imaging technology

Journal of food engineering, 2014-05, Vol.128, p.24-30

2014

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Classification of maize seeds of different years based on hyperspectral imaging and model updating

Computers and electronics in agriculture, 2016-03, Vol.122, p.139-145

2016

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Hyperspectral image-based multi-feature integration for TVB-N measurement in pork

Journal of food engineering, 2018-02, Vol.218, p.61-68

2018

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Spatially Offset Raman Spectroscopy Combined with Attention-Based LSTM for Freshness Evaluation of Shrimp

Sensors (Basel, Switzerland), 2023-03, Vol.23 (5), p.2827

2023

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Developing a Portable Fluorescence Imaging Device for Fish Freshness Detection

Sensors (Basel, Switzerland), 2024-02, Vol.24 (5), p.1401

2024

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Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Information processing & management, 2019-07, Vol.56 (4), p.1185-1203

2019

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Ripeness evaluation of ‘Sun Bright’ tomato using optical absorption and scattering properties

Postharvest biology and technology, 2015-05, Vol.103, p.27-34

2015

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ADFSNet: An Adaptive Domain Feature Separation Network for the Classification of Wheat Seed Using Hyperspectral Images

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8116

2023

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Investigation of Different CNN-Based Models for Improved Bird Sound Classification

IEEE access, 2019, Vol.7, p.175353-175361

2019

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Pose Estimation of Sweet Pepper through Symmetry Axis Detection

Sensors (Basel, Switzerland), 2018-09, Vol.18 (9), p.3083

2018

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Determination of sucrose content in sugar beet by portable visible and near-infrared spectroscopy

Food chemistry, 2015-01, Vol.167, p.264-271

2015

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Multi-resolution depth image restoration

Machine vision and applications, 2021-05, Vol.32 (3), Article 65

2021

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Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering

Food and bioprocess technology, 2016-07, Vol.9 (7), p.1177-1186

2016

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Model fusion for prediction of apple firmness using hyperspectral scattering image

Computers and electronics in agriculture, 2012, Vol.80, p.1-7

2012

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Automatic threshold method and optimal wavelength selection for insect-damaged vegetable soybean detection using hyperspectral images

Computers and electronics in agriculture, 2014-08, Vol.106, p.102-110

2014

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Penetration Depth Measurement of Near-Infrared Hyperspectral Imaging Light for Milk Powder

Sensors (Basel, Switzerland), 2016-03, Vol.16 (4), p.441-441

2016

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

Applied sciences, 2016-06, Vol.6 (6), p.183

2016

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In-field automatic detection of maize tassels using computer vision

Information processing in agriculture, 2021-03, Vol.8 (1), p.87-95

2021

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Rapid determination of the roasting degree of cocoa beans by extreme learning machine (ELM)-based imaging analysis

Journal of agriculture and food research, 2022-12, Vol.10, p.100437, Article 100437

2022

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Analysis of hyperspectral scattering images using locally linear embedding algorithm for apple mealiness classification

Computers and electronics in agriculture, 2012-11, Vol.89, p.175-181

2012

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Prediction of moisture content uniformity using hyperspectral imaging technology during the drying of maize kernel

International Agrophysics, 2015, Vol.29 (1), p.39-46

2015

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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning

International journal of agricultural and biological engineering, 2017-09, Vol.10 (5), p.144-153

2017

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Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification

Postharvest biology and technology, 2016-01, Vol.111, p.352-361

2016

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Maize and weed classification using color indices with support vector data description in outdoor fields

Computers and electronics in agriculture, 2017-09, Vol.141, p.215-222

2017

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Automatic detection of multi-type defects on potatoes using multispectral imaging combined with a deep learning model

Journal of food engineering, 2023-01, Vol.336, p.111213, Article 111213

2023

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Prediction of color and moisture content for vegetable soybean during drying using hyperspectral imaging technology

Classification of maize seeds of different years based on hyperspectral imaging and model updating

Hyperspectral image-based multi-feature integration for TVB-N measurement in pork

Spatially Offset Raman Spectroscopy Combined with Attention-Based LSTM for Freshness Evaluation of Shrimp

Developing a Portable Fluorescence Imaging Device for Fish Freshness Detection

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Ripeness evaluation of ‘Sun Bright’ tomato using optical absorption and scattering properties

ADFSNet: An Adaptive Domain Feature Separation Network for the Classification of Wheat Seed Using Hyperspectral Images

Investigation of Different CNN-Based Models for Improved Bird Sound Classification

Pose Estimation of Sweet Pepper through Symmetry Axis Detection

Determination of sucrose content in sugar beet by portable visible and near-infrared spectroscopy

Multi-resolution depth image restoration

Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering

Model fusion for prediction of apple firmness using hyperspectral scattering image

Automatic threshold method and optimal wavelength selection for insect-damaged vegetable soybean detection using hyperspectral images

Penetration Depth Measurement of Near-Infrared Hyperspectral Imaging Light for Milk Powder

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

In-field automatic detection of maize tassels using computer vision

Rapid determination of the roasting degree of cocoa beans by extreme learning machine (ELM)-based imaging analysis

Analysis of hyperspectral scattering images using locally linear embedding algorithm for apple mealiness classification

Prediction of moisture content uniformity using hyperspectral imaging technology during the drying of maize kernel

Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning

Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification

Maize and weed classification using color indices with support vector data description in outdoor fields

Automatic detection of multi-type defects on potatoes using multispectral imaging combined with a deep learning model

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