Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
出版年份 2021 全文链接
标题
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
作者
关键词
Food fraud, Ginger powder, Machine vision, Deep learning, Convolutional neural networks
出版物
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 136, Issue -, Pages 104764
出版商
Elsevier BV
发表日期
2021-08-14
DOI
10.1016/j.compbiomed.2021.104764
参考文献
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- (2021) Mohammad Momeny et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks
- (2021) Ahmad Jahanbakhshi et al. Energy Reports
- Role of spices in the treatment of diabetes mellitus: A minireview
- (2020) Nevin Sanlier et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Evaluation of image processing technique and discriminant analysis methods in postharvest processing of carrot fruit
- (2020) Ahmad Jahanbakhshi et al. Food Science & Nutrition
- Discussion of: “Nonparametric regression using deep neural networks with ReLU activation function”
- (2020) Gitta Kutyniok ANNALS OF STATISTICS
- Application of the E‐nose machine system to detect adulterations in mixed edible oils using chemometrics methods
- (2020) Hamed Karami et al. JOURNAL OF FOOD PROCESSING AND PRESERVATION
- A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks
- (2020) Zhuyun Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- 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
- Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach
- (2020) Mohammad Momeny et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Qualitative analysis of edible oil oxidation using an olfactory machine
- (2020) Hamed Karami et al. Journal of Food Measurement and Characterization
- Minor blind feature based Steganalysis for calibrated JPEG images with cross validation and classification using SVM and SVM-PSO
- (2020) Deepa D. Shankar et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review
- (2019) Ana M. Jiménez-Carvelo et al. FOOD RESEARCH INTERNATIONAL
- Developing an orientation and cutting point determination algorithm for a trout fish processing system using machine vision
- (2019) Hossein Azarmdel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Food fraud vulnerability assessment tools used in food industry
- (2019) J.M. Soon et al. FOOD CONTROL
- Application of an olfactory system to detect and distinguish bitter chocolates with different percentages of cocoa
- (2019) Behzad Nouri et al. JOURNAL OF FOOD PROCESS ENGINEERING
- Multi-channel convolutional neural networks for materials properties prediction
- (2019) Xiaolong Zheng et al. COMPUTATIONAL MATERIALS SCIENCE
- An efficient DNA barcoding based method for the authentication and adulteration detection of the powdered natural spices
- (2019) Mengting Zhang et al. FOOD CONTROL
- Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks
- (2019) Ahmad Jahanbakhshi et al. SCIENTIA HORTICULTURAE
- A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms
- (2018) Sajad Sabzi et al. COMPUTERS IN INDUSTRY
- A new image classification method using CNN transfer learning and web data augmentation
- (2018) Dongmei Han et al. EXPERT SYSTEMS WITH APPLICATIONS
- Herb and spice fraud; the drivers, challenges and detection
- (2018) Pamela Galvin-King et al. FOOD CONTROL
- Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree
- (2018) Chen-Yu Lee et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy
- (2018) Min Xu et al. JOURNAL OF FOOD ENGINEERING
- Ginger in gastrointestinal disorders: A systematic review of clinical trials
- (2018) Mehrnaz Nikkhah Bodagh et al. Food Science & Nutrition
- Assessment of food fraud vulnerability in the spices chain: An explorative study
- (2017) I.C.J. Silvis et al. FOOD CONTROL
- Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
- (2017) Yu-Dong Zhang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Drying effects on the antioxidant properties of tomatoes and ginger
- (2015) Özlem Aktürk Gümüşay et al. FOOD CHEMISTRY
- Ginger and Its Constituents: Role in Prevention and Treatment of Gastrointestinal Cancer
- (2015) Sahdeo Prasad et al. Gastroenterology Research and Practice
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