Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

Computer vision based detection of external defects on tomatoes using deep learning

(2020) Arthur Z. da Costa et al.   BIOSYSTEMS ENGINEERING

Fusion of acoustic sensing and deep learning techniques for apple mealiness detection

(2020) Majid Lashgari et al.   JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE

Detection of rice plant diseases based on deep transfer learning

(2020) Junde Chen et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

(2020) Dengshan Li et al.   SENSORS

Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat

(2020) Mahmoud Al-Sarayreh et al.   FOOD CONTROL

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

Feature extraction for hyperspectral image classification: a review

(2020) Brajesh Kumar et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Smart deep learning-based approach for non-destructive freshness diagnosis of common carp fish

(2020) Amin Taheri-Garavand et al.   JOURNAL OF FOOD ENGINEERING

Short convolutional neural networks applied to the recognition of the browning stages of bread crust

(2020) Weskley da Silva Cotrim et al.   JOURNAL OF FOOD ENGINEERING

Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network

(2020) Jinnuo Zhang et al.   Frontiers in Plant Science

On line detection of defective apples using computer vision system combined with deep learning methods

(2020) Shuxiang Fan et al.   JOURNAL OF FOOD ENGINEERING

Ensemble Meta-Learning for Few-Shot Soot Density Recognition

(2020) Ke Gu et al.   IEEE Transactions on Industrial Informatics

Food Constituent Estimation for Lifestyle Disease Prevention by Multi-Task CNN

(2019) Sulfayanti F. Situju et al.   APPLIED ARTIFICIAL INTELLIGENCE

Maize leaf disease classification using deep convolutional neural networks

(2019) Ramar Ahila Priyadharshini et al.   NEURAL COMPUTING & APPLICATIONS

Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks

(2019) DaeHan Ahn et al.   SENSORS

Hyperspectral fruit and vegetable classification using convolutional neural networks

(2019) Jan Steinbrener et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Simultaneous Estimation of Dish Locations and Calories with Multi-Task Learning

(2019) Takumi EGE et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

(2019) Nicolas Audebert et al.   IEEE Geoscience and Remote Sensing Magazine

Varietal classification of barley by convolutional neural networks

(2019) Michał Kozłowski et al.   BIOSYSTEMS ENGINEERING

Application of Deep Learning in Food: A Review

(2019) Lei Zhou et al.   COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network

(2019) Zhu et al.   SENSORS

Identification and quantification of counterfeit sesame oil by 3D fluorescence spectroscopy and convolutional neural network

(2019) Xijun Wu et al.   FOOD CHEMISTRY

A Spectral-Spatial Cascaded 3D Convolutional Neural Network with a Convolutional Long Short-Term Memory Network for Hyperspectral Image Classification

(2019) Wenchao Qi et al.   Remote Sensing

A CNN Based Automated Activity and Food Recognition Using Wearable Sensor for Preventive Healthcare

(2019) Ghulam Hussain et al.   Electronics

Deep Dual-Channel Neural Network for Image-Based Smoke Detection

(2019) Ke Gu et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Deep learning classifiers for hyperspectral imaging: A review

(2019) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks

(2019) Ahmad Jahanbakhshi et al.   SCIENTIA HORTICULTURAE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets

(2018) Patrick McAllister et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Non-destructive Detection and Screening of Non-uniformity in Microwave Sterilization Using Hyperspectral Imaging Analysis

(2018) Yuanyuan Pan et al.   Food Analytical Methods

Hyperspectral Imaging Sensing of Changes in Moisture Content and Color of Beef During Microwave Heating Process

(2018) Yuwei Liu et al.   Food Analytical Methods

A Deep Convolutional Neural Network Architecture for Boosting Image Discrimination Accuracy of Rice Species

(2018) P. Lin et al.   Food and Bioprocess Technology

Heterospectral two-dimensional correlation analysis with near-infrared hyperspectral imaging for monitoring oxidative damage of pork myofibrils during frozen storage

(2018) Weiwei Cheng et al.   FOOD CHEMISTRY

Image-Based Food Calorie Estimation Using Recipe Information

(2018) Takumi EGE et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

A review of the use of convolutional neural networks in agriculture

(2018) A. Kamilaris et al.   JOURNAL OF AGRICULTURAL SCIENCE

Predicting intramuscular fat content variations in boiled pork muscles by hyperspectral imaging using a novel spectral pre-processing technique

(2018) Ji Ma et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods

(2018) Elnaz Jahani Heravi et al.   PATTERN RECOGNITION LETTERS

Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data

(2018) et al.   SENSORS

A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure

(2018) Chang Liu et al.   IEEE Transactions on Services Computing

Image-Based Food Calorie Estimation Using Recipe Information

(2018) Takumi EGE et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

A review of the use of convolutional neural networks in agriculture

(2018) A. Kamilaris et al.   JOURNAL OF AGRICULTURAL SCIENCE

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

(2018) Zhengjun Qiu et al.   Applied Sciences-Basel

CNN-based features for retrieval and classification of food images

(2018) Gianluigi Ciocca et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Smart-Log: A Deep-Learning Based Automated Nutrition Monitoring System in the IoT

(2018) Prabha Sundaravadivel et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

Recognition of Chinese food using convolutional neural network

(2018) Jianing Teng et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network

(2018) Na Wu et al.   MOLECULES

Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map

(2018) Frank Lo et al.   Nutrients

Automatic Fruit Classification Using Deep Learning for Industrial Applications

(2018) M. Shamim Hossain et al.   IEEE Transactions on Industrial Informatics

Automatic inspection machine for maize kernels based on deep convolutional neural networks

(2018) Chao Ni et al.   BIOSYSTEMS ENGINEERING

Computer Vision Detection of Salmon Muscle Gaping Using Convolutional Neural Network Features

(2017) Jun-Li Xu et al.   Food Analytical Methods

Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with effective variable selection methods

(2017) Weiwei Cheng et al.   FOOD CHEMISTRY

FoodNet: Recognizing Foods Using Ensemble of Deep Networks

(2017) Paritosh Pandey et al.   IEEE SIGNAL PROCESSING LETTERS

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Model improvement for predicting moisture content (MC) in pork longissimus dorsi muscles under diverse processing conditions by hyperspectral imaging

(2017) Ji Ma et al.   JOURNAL OF FOOD ENGINEERING

Hyperspectral imaging technique for evaluating food quality and safety during various processes: A review of recent applications

(2017) Yuwei Liu et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Emerging non-destructive terahertz spectroscopic imaging technique: Principle and applications in the agri-food industry

(2017) Kaiqiang Wang et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment

(2017) Simon Mezgec et al.   Nutrients

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

(2017) Ying Li et al.   Remote Sensing

Prediction of total volatile basic nitrogen contents using wavelet features from visible/near-infrared hyperspectral images of prawn (Metapenaeus ensis)

(2016) Qiong Dai et al.   FOOD CHEMISTRY

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Integration of spectral and textural data for enhancing hyperspectral prediction of K value in pork meat

(2016) Weiwei Cheng et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Pork biogenic amine index (BAI) determination based on chemometric analysis of hyperspectral imaging data

(2016) Weiwei Cheng et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Applications of Near-infrared Spectroscopy in Food Safety Evaluation and Control: A Review of Recent Research Advances

(2015) Jia-Huan Qu et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Deep learning

(2015) Yann LeCun et al.   NATURE

Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview

(2012) Gamal Elmasry et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Recent advances in the use of computer vision technology in the quality assessment of fresh meats

(2011) Patrick Jackman et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY