AIMC Topic: Food Handling

Clear Filters Showing 1 to 10 of 64 articles

Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.

Scientific reports Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin...
Artificial Intelligence Onions Food Handling Desiccation Water Ascorbic Acid Temperature
View on PubMed DOI

Characterize and explore the dynamic changes in the volatility profiles of sauce-flavor baijiu during different rounds by GC-IMS, GC-MS and GC×GC-MS combined with machine learning.

Food research international (Ottawa, Ont.) May 5, 2025
The production process of sauce-flavor baijiu (SFB) involves seven distillations, yielding base baijiu of 7 rounds (RSFB), which are then blended to form the final product. Therefore, the quality of the base baijiu is closely related to the quality o...
Flavoring Agents Volatilization Volatile Organic Compounds Food Handling Machine Learning Gas Chromatography-Mass Spectrometry Taste Food Analysis
View on PubMed DOI

Comparative analysis and investigation of ultrasonication on juice yield and bioactive compounds of kinnow fruit using RSM and ANN models.

Scientific reports Mar 21, 2025
Ultrasonication (US) is a promising non-thermal technique widely applied in the food sector for improving the extraction process and preserving nutrients. Kinnow fruits have yields of 40-60% juice; the rest of the parts are discarded as waste. The st...
Neural Networks, Computer Antioxidants Sonication Fruit Fruit and Vegetable Juices Phenols Food Handling Ascorbic Acid
View on PubMed DOI

Rapid discrimination of different primary processing Arabica coffee beans using FT-IR and machine learning.

Food research international (Ottawa, Ont.) Feb 10, 2025
In this study, fourier transform infrared spectroscopy (FT-IR) analysis was combined with machine learning, while various analytical techniques such as colorimetry, low-field nuclear magnetic resonance spectroscopy, scanning electron microscope, two-...
Coffea Food Handling Microscopy, Electron, Scanning Seeds Discriminant Analysis Magnetic Resonance Spectroscopy Coffee Multivariate Analysis Machine Learning Spectroscopy, Fourier Transform Infrared
View on PubMed DOI

A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms.

Food research international (Ottawa, Ont.) Jan 30, 2025
Fixation is a critical step in green tea processing, and the moisture content of the leaves after fixation is a key indicator of the fixation quality. Near-infrared spectroscopy (NIRS)-based moisture detection technology is often applied in the tea p...
Food Handling Tea Least-Squares Analysis Temperature Water Spectroscopy, Near-Infrared Plant Leaves Deep Learning
View on PubMed DOI

AI-based processing of future prepared foods: Progress and prospects.

Food research international (Ottawa, Ont.) Jan 4, 2025
The prepared foods sector has grown rapidly in recent years, driven by the fast pace of modern living and increasing consumer demand for convenience. Prepared foods are taking an increasingly important role in the modern catering industry due to thei...
Machine Learning Fuzzy Logic Food Handling Humans Artificial Intelligence
View on PubMed DOI

Rapid detection of poultry meat quality using S-band to KU-band radio-frequency waves combined with machine learning-A proof of concept.

Journal of food science Nov 26, 2024
Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry industry to identify non-invasive, in-line processing technologies for rapid detection of muscle meat quality defects. At production plants, technolog...
Radio Waves Food Handling Chickens Muscular Diseases Support Vector Machine Machine Learning Meat Animals
View on PubMed DOI

Comprehensive review of dysphagia and technological advances in dysphagia food.

Food research international (Ottawa, Ont.) Nov 19, 2024
As the global population ages, dysphagia is becoming increasingly common among the elderly, posing serious risks such as choking, aspiration pneumonia, and even death. Leveraging advanced technologies to develop specialized food products for those wi...
Deglutition Disorders Rheology Humans Food Technology Deglutition Artificial Intelligence Food Handling
View on PubMed DOI

Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters.

Food chemistry Nov 12, 2024
Timely and effective detection of quality attributes during drying control is essential for enhancing the quality of fruit processing. Consequently, this study aims to employ hyperspectral imaging technology for the non-destructive monitoring of solu...
Hot Temperature Desiccation Ziziphus Fruit Hyperspectral Imaging Deep Learning Quality Control Food Handling
View on PubMed DOI

Artificial intelligence as a tool for predicting the quality attributes of garlic (Allium sativum L.) slices during continuous infrared-assisted hot air drying.

Journal of food science Oct 9, 2024
Effective drying methods are a highly suitable solution for ensuring stable food supply chains, reducing postharvest agricultural losses, and preventing the spoilage of perishable fruits and vegetables. Moreover, machine learning techniques are innov...
Color Taste Food Preservation Disulfides Food Handling Neural Networks, Computer Artificial Intelligence Desiccation Garlic Sulfinic Acids Hot Temperature Infrared Rays
View on PubMed DOI
Popular Topics
Recent Journals