AIMC Topic: Food

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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.

The American journal of clinical nutrition Dec 23, 2022
BACKGROUND: Food categorization and nutrient profiling are labor intensive, time consuming, and costly tasks, given the number of products and labels in large food composition databases and the dynamic food supply.
Nutritional Status Food Nutritive Value Humans Machine Learning Natural Language Processing
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A robust and resilience machine learning for forecasting agri-food production.

Scientific reports Dec 16, 2022
This research proposes a new framework for agri-food capacity production by considering resiliency and robustness and paying attention to disruption and risk for the first time. It is applied robust stochastic optimization by adding robustness to the...
Data Collection Food Machine Learning Forecasting
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A TastePeptides-Meta system including an umami/bitter classification model Umami_YYDS, a TastePeptidesDB database and an open-source package Auto_Taste_ML.

Food chemistry Nov 9, 2022
Taste peptides with umami/bitterness play a role in food attributes. However, the taste mechanisms of peptides are not fully understood, and the identification of these peptides is time-consuming. Here, we created a taste peptide database by collecti...
Machine Learning Databases, Factual Food Taste Algorithms
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Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors.

Food research international (Ottawa, Ont.) Oct 20, 2022
In recent years, the rapid increase in the global population, the challenges associated with climate change, and the emergence of new pandemics have all become major threats to food security worldwide. Consequently, innovative solutions are urgently ...
Artificial Intelligence Agriculture Food Sustainable Development Food Technology
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Tableware Tidying-Up Robot System for Self-Service Restaurant-Detection and Manipulation of Leftover Food and Tableware.

Sensors (Basel, Switzerland) Sep 15, 2022
In this study, an automated tableware tidying-up robot system was developed to tidy up tableware in a self-service restaurant with a large amount of tableware. This study focused on sorting and collecting tableware placed on trays detected by an RGB-...
Restaurants Hand Strength Robotics Hand Food
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Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.

Sensors (Basel, Switzerland) Aug 26, 2022
Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise, other people with dementia, Alzheimer's disease, or other...
Humans Artificial Intelligence Nutrition Assessment Eating Food Feeding Behavior Adolescent
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Food traceability 4.0 as part of the fourth industrial revolution: key enabling technologies.

Critical reviews in food science and nutrition Aug 11, 2022
Food Traceability 4.0 (FT 4.0) is about tracing foods in the era of the fourth industrial revolution (Industry 4.0) with techniques and technologies reflecting this new revolution. Interest in food traceability has gained momentum in response to, amo...
Food Refuse Disposal Technology Humans Artificial Intelligence Pandemics
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Development and validation of a chewing robot for mimicking human food oral processing and producing food bolus.

Journal of texture studies Jun 14, 2022
More and more studies have being done on the deformation process of food and the formation of food bolus during chewing. However, it is hard to observe the food oral processing (FOP) of subjects and obtain related data directly. A bionic chewing robo...
Jaw Robotics Deglutition Food Mastication Humans Arachis
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Design of experiments meets immersive environment: Optimising eating atmosphere using artificial neural network.

Appetite Jun 5, 2022
Design of experiments (DOE) is a family of statistical tools commonly used in food science to optimise recipes and facilitate new food development. In a novel cross-disciplinary twist, we propose to adapt DOE approach to the optimisation of restauran...
Reproducibility of Results Food Humans Algorithms Neural Networks, Computer Atmosphere
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Deep learning accurately predicts food categories and nutrients based on ingredient statements.

Food chemistry May 19, 2022
Determining attributes such as classification, creating taxonomies and nutrients for foods can be a challenging and resource-intensive task, albeit important for a better understanding of foods. In this study, a novel dataset, 134 k BFPD, was collect...
Nutrients Artificial Intelligence Neural Networks, Computer Food Deep Learning
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