AIMC Topic: Food Industry

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The fourth industrial revolution in the food industry-part II: Emerging food trends.

Critical reviews in food science and nutrition Aug 5, 2022
The food industry has recently been under unprecedented pressure due to major global challenges, such as climate change, exponential increase in world population and urbanization, and the worldwide spread of new diseases and pandemics, such as the CO...
Artificial Intelligence Food Industry Food Technology Functional Food Food-Processing Industry
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The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies.

Critical reviews in food science and nutrition Feb 3, 2022
Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the planet and...
Artificial Intelligence Internet Food Industry Humans Food Refuse Disposal
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Advanced cutting techniques for solid food: Mechanisms, applications, modeling approaches, and future perspectives.

Comprehensive reviews in food science and food safety Jan 24, 2022
Cutting is an imperative operation in the food-manufacturing factory, separating food into a predefined geometry. A broad range of solid foods, with various components, textures, and structures, pose enormous challenges to conventional cutting strate...
Food Industry Artificial Intelligence
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A machine learning workflow for raw food spectroscopic classification in a future industry.

Scientific reports Jul 8, 2020
Over the years, technology has changed the way we produce and have access to our food through the development of applications, robotics, data analysis, and processing techniques. The implementation of these approaches by the food industry ensure qual...
Digital Technology Spectrum Analysis Raw Foods Food Industry Machine Learning Workflow
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IoT-Blockchain Enabled Optimized Provenance System for Food Industry 4.0 Using Advanced Deep Learning.

Sensors (Basel, Switzerland) May 25, 2020
Agriculture and livestock play a vital role in social and economic stability. Food safety and transparency in the food supply chain are a significant concern for many people. Internet of Things (IoT) and blockchain are gaining attention due to their ...
Food Industry Blockchain Humans Deep Learning Internet of Things Food Supply
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Alkaline conditions better extract anti-inflammatory polysaccharides from winemaking by-products.

Food research international (Ottawa, Ont.) Jul 3, 2019
Winemaking generates large amounts of by-products, a well recognized source of phenolic compounds. However, less attention has been paid to the polysaccharide-rich fraction (PRF) and effects of fractionation techniques on its potential bioactivity. T...
Industrial Waste RAW 264.7 Cells Food Industry Anti-Inflammatory Agents Chemical Fractionation Hydrogen-Ion Concentration Animals Food Technology Wine Polysaccharides Mice
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Microwave assisted dehydration of broccoli by-products and simultaneous extraction of bioactive compounds.

Food chemistry Nov 14, 2017
Broccoli by-products from frozen-food industry account for 45% of the initial broccoli heads. They consist on stalks, inflorescences, and leaves, blanched and non-blanched, sharing the nutritional value and bioactive compounds of commercial broccoli ...
Microwaves Food Additives Glucosinolates Plant Proteins, Dietary Desiccation Chemical Fractionation Food Industry Monosaccharides Brassica Water Plant Leaves Polysaccharides Nutritive Value Phenols Plant Stems Amino Acids
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A Decision Support System Coupling Fuzzy Logic and Probabilistic Graphical Approaches for the Agri-Food Industry: Prediction of Grape Berry Maturity.

PloS one Jul 31, 2015
Agri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the m...
Food Industry Probability Expert Systems Fuzzy Logic Climate Change Vitis
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Miniaturized spectroscopy and AI-driven probes in food industry automation.

Food research international (Ottawa, Ont.) Aug 1, 2025
Spectroscopy is a rapidly advancing analytical technique, which is increasingly employed in the food industry as a non-destructive and rapid quality control tool. Based on spectral analysis and developed multivariate predictive models this technique ...
Machine Learning Food Analysis Quality Control Artificial Intelligence Automation Food Industry Food Handling Miniaturization Spectrum Analysis
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Automating egg damage detection for improved quality control in the food industry using deep learning.

Journal of food science Jan 1, 2025
The detection and classification of damage to eggs within the egg industry are of paramount importance for the production of healthy eggs. This study focuses on the automatic identification of cracks and surface damage in chicken eggs using deep lear...
Animals Food Industry Deep Learning Eggs Quality Control Chickens Neural Networks, Computer Algorithms
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