The Application of Optical Nondestructive Testing for Fresh Berry Fruits
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Title
The Application of Optical Nondestructive Testing for Fresh Berry Fruits
Authors
Keywords
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Journal
Food Engineering Reviews
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-08-18
DOI
10.1007/s12393-023-09353-3
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- (2023) Lingyun Tong et al. Journal of Cleaner Production
- Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System
- (2022) V. Hemamalini et al. JOURNAL OF FOOD QUALITY
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- (2022) Fernando Palacios et al. PRECISION AGRICULTURE
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- (2022) Mei Jia et al. Applied Sciences-Basel
- Computer Vision System for Mango Fruit Defect Detection Using Deep Convolutional Neural Network
- (2022) R. Nithya et al. Foods
- Vision on the bog: Cranberry crop risk evaluation with deep learning
- (2022) Peri Akiva et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Improved Vision-Based Detection of Strawberry Diseases Using a Deep Neural Network
- (2021) Byoungjun Kim et al. Frontiers in Plant Science
- A Survey of k Nearest Neighbor Algorithms for Solving the Class Imbalanced Problem
- (2021) Bo Sun et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming
- (2021) Caiwang Zheng et al. Remote Sensing
- Research on nondestructive identification of grape varieties based on EEMD‐DWT and hyperspectral image
- (2021) Min Xu et al. JOURNAL OF FOOD SCIENCE
- In-field and non-destructive monitoring of grapes maturity by hyperspectral imaging
- (2021) Alessandro Benelli et al. BIOSYSTEMS ENGINEERING
- Authentication of berries and berry‐based food products
- (2021) Heikki M. Salo et al. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
- Review of Functional and Pharmacological Activities of Berries
- (2021) Oksana Golovinskaia et al. MOLECULES
- Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review
- (2021) Prabhakar Maheswari et al. Frontiers in Plant Science
- Automated Pest Detection With DNN on the Edge for Precision Agriculture
- (2021) Andrea Albanese et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Comparison Performance of Visible-NIR and Near-Infrared Hyperspectral Imaging for Prediction of Nutritional Quality of Goji Berry (Lycium barbarum L.)
- (2021) Danial Fatchurrahman et al. Foods
- Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications
- (2021) Arun Kumar R et al. Data in Brief
- CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
- (2021) Dulari Bhatt et al. Electronics
- Food Habit Associated Mycobiota Composition and Their Impact on Human Health
- (2021) Jata Shankar Frontiers in Nutrition
- Applications of Fourier transform infrared spectroscopy to pharmaceutical preparations
- (2020) Yijie Song et al. Expert Opinion on Drug Delivery
- Nondestructive detection of storage time of strawberries using visible/near-infrared hyperspectral imaging
- (2020) Shizhuang Weng et al. INTERNATIONAL JOURNAL OF FOOD PROPERTIES
- Fast method for GA‐PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations
- (2020) Petter Stefansson et al. JOURNAL OF CHEMOMETRICS
- Detection and Classification of Early Decay on Blueberry Based on Improved Deep Residual 3D Convolutional Neural Network in Hyperspectral Images
- (2020) Shicheng Qiao et al. Scientific Programming
- Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods
- (2020) Shizhuang Weng et al. SENSORS
- Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
- (2020) Yunchao Tang et al. Frontiers in Plant Science
- Peach variety detection using VIS-NIR spectroscopy and deep learning
- (2020) Dian Rong et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 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
- Potential of Vis-NIR spectroscopy for detection of chilling injury in kiwifruit
- (2020) Zhen Wang et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM)
- (2020) Hossein Azarmdel et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield
- (2020) Xueping Ni et al. Horticulture Research
- Assessment of Strawberry Ripeness Using Hyperspectral Imaging
- (2020) Yuanyuan Shao et al. ANALYTICAL LETTERS
- Quality Assessment and Classification of Goji Berry by an HPLC-based Analytical Platform Coupled with Multivariate Statistical Analysis
- (2020) Xuxia Liu et al. Food Analytical Methods
- Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
- (2020) Kerry B. Walsh et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Role of Yeasts in the Cranberry Fruit Rot Disease Complex
- (2020) Zachary David Zalewski et al. PLANT DISEASE
- Detection of Strawberry Diseases Using a Convolutional Neural Network
- (2020) Jia-Rong Xiao et al. Plants-Basel
- Evaluation of moisture content in processed apple chips using nirs and wavelength selection techniques
- (2019) Xiao Guan et al. INFRARED PHYSICS & TECHNOLOGY
- Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review
- (2019) V. Cortés et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Applications of Non-destructive Technologies for Agricultural and Food Products Quality Inspection
- (2019) Hany El-Mesery et al. SENSORS
- 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
- Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach
- (2019) Sigfredo Fuentes et al. SENSORS
- Bioactive Compounds of Strawberry and Blueberry and Their Potential Health Effects Based on Human Intervention Studies: A Brief Overview
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- (2019) Yang Yu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- Recent application of imaging techniques for fruit quality assessment
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- (2018) Yan Zhang et al. EURASIP Journal on Image and Video Processing
- 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
- Near-infrared spectroscopy coupled chemometric algorithms for prediction of antioxidant activity of black goji berries (Lycium ruthenicum Murr.)
- (2018) Muhammad Arslan et al. Journal of Food Measurement and Characterization
- An automated detection and classification of citrus plant diseases using image processing techniques: A review
- (2018) Zahid Iqbal et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Recognising blueberry fruit of different maturity using histogram oriented gradients and colour features in outdoor scenes
- (2018) Kezhu Tan et al. BIOSYSTEMS ENGINEERING
- Non-destructive and contactless quality evaluation of table grapes by a computer vision system
- (2018) Dario Pietro Cavallo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection
- (2018) Shuxiang Fan et al. SENSORS
- Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review
- (2018) Sylvie Bureau et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Optical properties of blueberry flesh and skin and Monte Carlo multi-layered simulation of light interaction with fruit tissues
- (2018) Mengyun Zhang et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Interactions between the major bioactive polyphenols of berries: effects on antioxidant properties
- (2017) Ângelo Luís et al. EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Comparison of different CCD detectors and chemometrics for predicting total anthocyanin content and antioxidant activity of mulberry fruit using visible and near infrared hyperspectral imaging technique
- (2017) Lingxia Huang et al. FOOD CHEMISTRY
- A novel method to determine total sugar of Goji berry using FT-NIR spectroscopy with effective wavelength selection
- (2017) Qi Li et al. INTERNATIONAL JOURNAL OF FOOD PROPERTIES
- Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths
- (2017) Shuxiang Fan et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review
- (2017) Yuzhen Lu et al. Applied Sciences-Basel
- The evolving fresh market berry industry in Santa Cruz and Monterey counties
- (2016) Laura Tourte et al. CALIFORNIA AGRICULTURE
- Optimal multi-product management of stands producing timber and wild berries
- (2016) Jari Miina et al. EUROPEAN JOURNAL OF FOREST RESEARCH
- Determination of Geographical Origin and Anthocyanin Content of Black Goji Berry (Lycium ruthenicum Murr.) Using Near-Infrared Spectroscopy and Chemometrics
- (2016) Li Yahui et al. Food Analytical Methods
- Near-infrared spectroscopic analysis of total phenolic content and antioxidant activity of berry fruits
- (2016) Jasenka Gajdoš Kljusurić et al. FOOD TECHNOLOGY AND BIOTECHNOLOGY
- Non-destructive evaluation of the internal fruit quality of black mulberry (Morus nigra L.) using visible-infrared spectroscopy and genetic algorithm
- (2016) Maryam Soltanikazemi et al. INTERNATIONAL JOURNAL OF FOOD PROPERTIES
- Nondestructive Detection and Quantification of Blueberry Bruising using Near-infrared (NIR) Hyperspectral Reflectance Imaging
- (2016) Yu Jiang et al. Scientific Reports
- Determination Geographical Origin and Flavonoids Content of Goji Berry Using Near-Infrared Spectroscopy and Chemometrics
- (2015) Shen Tingting et al. Food Analytical Methods
- Estimating blueberry mechanical properties based on random frog selected hyperspectral data
- (2015) Meng-Han Hu et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries
- (2015) Yan-Ru Zhao et al. Journal of Analytical Methods in Chemistry
- Identifying blueberry fruit of different growth stages using natural outdoor color images
- (2014) Han Li et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
- (2013) José M. Soriano-Disla et al. APPLIED SPECTROSCOPY REVIEWS
- Automatic detection of orientation and diseases in blueberries using image analysis to improve their postharvest storage quality
- (2013) Gabriel A. Leiva-Valenzuela et al. FOOD CONTROL
- Berry antioxidants: small fruits providing large benefits
- (2013) George A Manganaris et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Application of optical coherence tomography to non-destructively characterise rind breakdown disorder of ‘Nules Clementine’ mandarins
- (2013) Lembe Samukelo Magwaza et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
- (2012) Yao-Ze Feng et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Effect of smoke application to field-grown Merlot grapevines at key phenological growth stages on wine sensory and chemical properties
- (2011) K.R. KENNISON et al. AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH
- Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment
- (2011) D. Lorente et al. Food and Bioprocess Technology
- Effect of timing and duration of grapevine exposure to smoke on the composition and sensory properties of wine
- (2009) K.R. KENNISON et al. AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH
- Rapid discrimination of commercial strawberry cultivars using Fourier transform infrared spectroscopy data combined by multivariate analysis
- (2008) Suk Weon Kim et al. Plant Biotechnology Reports
- Nondestructive determination of pear internal quality indices by visible and near-infrared spectrometry
- (2007) Yande Liu et al. LWT-FOOD SCIENCE AND TECHNOLOGY
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