Internet of Things in food processing and its potential in Industry 4.0 era: A review
Background Food processing is a technique to convert agricultural produce into a
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …
[HTML][HTML] A systematic review on food recommender systems
The Internet has revolutionised the way information is retrieved, and the increase in the
number of users has resulted in a surge in the volume and heterogeneity of available data …
number of users has resulted in a surge in the volume and heterogeneity of available data …
Large scale visual food recognition
Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …
health and well‐being of humans. It is thus of importance to the computer vision community …
Plant disease recognition: A large-scale benchmark dataset and a visual region and loss reweighting approach
Plant disease diagnosis is very critical for agriculture due to its importance for increasing
crop production. Recent advances in image processing offer us a new way to solve this …
crop production. Recent advances in image processing offer us a new way to solve this …
The deep features and attention mechanism-based method to dish healthcare under social IoT systems: An empirical study with a hand-deep local–global net
H Gao, K Xu, M Cao, J **ao, Q Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …
daily events, such as health and sport events. In fact, healthy diet recognition is an important …
Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …
various real-world applications, such as diet management and self-service restaurants. A …
Transformer with peak suppression and knowledge guidance for fine-grained image recognition
Fine-grained image recognition is challenging because discriminative clues are usually
fragmented, whether from a single image or multiple images. Despite their significant …
fragmented, whether from a single image or multiple images. Despite their significant …
Multi-scale multi-view deep feature aggregation for food recognition
Recently, food recognition has received more and more attention in image processing and
computer vision for its great potential applications in human health. Most of the existing …
computer vision for its great potential applications in human health. Most of the existing …
Learning cross-modal embeddings with adversarial networks for cooking recipes and food images
Food computing is playing an increasingly important role in human daily life, and has found
tremendous applications in guiding human behavior towards smart food consumption and …
tremendous applications in guiding human behavior towards smart food consumption and …
A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …