AIMC Topic: Food Quality

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Enhanced food authenticity control using machine learning-assisted elemental analysis.

Food research international (Ottawa, Ont.) Nov 13, 2024
With the increasing attention being paid to the authenticity of food, efficient and accurate techniques that can solve relevant problems are crucial for improving public trust in food. This review explains two main aspects of food authenticity, namel...
Food Analysis Quality Control Food, Organic Food Quality Metals, Heavy Algorithms Food Contamination Machine Learning
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Simultaneous monitoring of two comprehensive quality evaluation indexes of frozen-thawed beef meatballs using hyperspectral imaging and multi-task convolutional neural network.

Meat science Nov 10, 2024
The quality of beef meatballs during repeated freeze-thaw (F-T) cycles was assessed by multiple indicators. This study introduced a novel quality evaluation method using hyperspectral imaging (HSI) and multi-task learning. Seventeen quality indicator...
Cattle Meat Products Neural Networks, Computer Animals Freezing Red Meat Food Quality Quality Control Hyperspectral Imaging
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Effects on quality characteristics of ultrasound-treated gilaburu juice using RSM and ANFIS modeling with machine learning algorithm.

Ultrasonics sonochemistry May 22, 2024
Gilaburu (Viburnum opulus L.) is a red-colored fruit with a sour taste that grows in Anatolia. It is rich in various antioxidant and bioactive compounds. In this study, bioactive compounds and ultrasound parameters of ultrasound-treated gilaburu wate...
Fuzzy Logic Phenols Ultrasonic Waves Food Quality Fruit and Vegetable Juices Machine Learning Algorithms
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Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 4, 2024
It has been established that near infrared (NIR) spectroscopy has the potential of estimating sensory traits given the direct spectral responses that these properties have in the NIR region. In sweetpotato, sensory and texture traits are key for impr...
Algorithms Spectroscopy, Near-Infrared Humans Machine Learning Sensation Ipomoea batatas Food Quality Food Analysis Models, Statistical Plant Breeding
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Recent developments of e-sensing devices coupled to data processing techniques in food quality evaluation: a critical review.

Analytical methods : advancing methods and applications Oct 26, 2023
A greater demand for high-quality food is being driven by the growth of economic and technological advancements. In this context, consumers are currently paying special attention to organoleptic characteristics such as smell, taste, and appearance. M...
Taste Perception Food Quality Artificial Intelligence Smell Humans
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Artificial neural network-based shelf life prediction approach in the food storage process: A review.

Critical reviews in food science and nutrition Sep 9, 2023
The prediction of food shelf life has become a vital tool for distributors and consumers, enabling them to determine storage and optimal edible time, thus avoiding unexpected food waste. Artificial neural network (ANN) have emerged as an effective, f...
Food Storage Food Quality Algorithms Fruit Neural Networks, Computer
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Applications of machine learning techniques for enhancing nondestructive food quality and safety detection.

Critical reviews in food science and nutrition Oct 12, 2022
In considering the need of people all over the world for high-quality food, there has been a recent increase in interest in the role of nondestructive and rapid detection technologies in the food industry. Moreover, the analysis of data acquired by m...
Machine Learning Algorithms Humans Food Quality
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Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality.

Critical reviews in food science and nutrition Apr 20, 2022
Cereals provide humans with essential nutrients, and its quality assessment has attracted widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as powerful nondestructive testing technologies, are widely used in the ...
Food Quality Spectrophotometry, Infrared Edible Grain Hyperspectral Imaging Humans Artificial Intelligence
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Rapid Assessment of Quality Changes in French Fries during Deep-frying Based on FTIR Spectroscopy Combined with Artificial Neural Network.

Journal of oleo science Sep 8, 2021
Fourier transform infrared (FTIR) spectroscopy combined with backpropagation artificial neural network (BP-ANN) were utilized for rapid and simultaneous assessment of the lipid oxidation indices in French fries. The conventional indexes (i.e. total p...
Cooking Hot Temperature Oxidation-Reduction Solanum tuberosum Palm Oil Sunflower Oil Rapeseed Oil Soybean Oil Food Quality Spectroscopy, Fourier Transform Infrared Food Analysis Neural Networks, Computer
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E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition Mar 29, 2021
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...
Food Quality Electronic Nose Algorithms Tongue Humans Artificial Intelligence
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