AIMC Topic: Food Quality

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Harnessing artificial intelligence for advancements in Rice / wheat functional food Research and Development.

Food research international (Ottawa, Ont.) May 1, 2025
In recent years, the research and development (R&D) of rice and wheat functional foods has attracted a widespread attention from food researchers, driven by the increasing global food consumption and growing consumer demand for healthier and safer fo...
Humans Artificial Intelligence Machine Learning Triticum Oryza Food Technology Food Handling Functional Food Food Quality
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Machine vision combined with deep learning-based approaches for food authentication: An integrative review and new insights.

Comprehensive reviews in food science and food safety Nov 1, 2024
Food fraud undermines consumer trust, creates economic risk, and jeopardizes human health. Therefore, it is essential to develop efficient technologies for rapid and reliable analysis of food quality and safety for food authentication. Machine vision...
Artificial Intelligence Algorithms Deep Learning Food Contamination Food Analysis Food Safety Food Quality
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Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint.

Comprehensive reviews in food science and food safety Sep 1, 2024
The food industry is a significant contributor to carbon emissions, impacting carbon footprint (CF), specifically during the heat drying process. Conventional heat drying processes need high energy and diminish the nutritional value and sensory quali...
Artificial Intelligence Food Handling Hot Temperature Desiccation Food Quality Carbon Footprint
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Elucidation of the mechanism by which the internal structure of food controls the quality.

Bioscience, biotechnology, and biochemistry Aug 23, 2023
Several of the existing food manufacturing processes are based on empirical knowledge, and not many are rationally designed and operated based on a sufficient understanding of the underlying phenomena. Drying and rehydration processes are one such ex...
Artificial Intelligence Water Food Handling Desiccation Food Quality
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[Dynamic Detection of Fresh Jujube Based on ELM and Visible/Near Infrared Spectra].

Guang pu xue yu guang pu fen xi = Guang pu Jul 1, 2015
Jujube was rich in nutrition and variety. In different varieties, there were very different from the market price to the qualities of internal and external. In order to realize the rapid and non-destructive detection of fresh jujubes' classification,...
Machine Learning Algorithms Spectroscopy, Near-Infrared Models, Theoretical Support Vector Machine Food Analysis Least-Squares Analysis Discriminant Analysis Fruit Food Quality Ziziphus
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