AIMC Topic: Food Storage

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Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Scientific reports Jul 18, 2025
Seafood, including fish, prawns and various marine products, is a critical component of global nutrition due to its high protein content, essential fatty acids, vitamins and minerals. Traditional methods for assessing seafood freshness such as sensor...
Animals Food Packaging Paper Machine Learning Food Preservation Food Storage Food Quality Hydrogen-Ion Concentration Fishes Seafood
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Color Dynamics, Pigments and Antioxidant Capacity in Pouteria sapota Puree During Frozen Storage: A Correlation Study Using CIELAB Color Space and Machine Learning Models.

Plant foods for human nutrition (Dordrecht, Netherlands) Jul 15, 2025
The accurate prediction of bioactive compounds and antioxidant activity in food matrices is critical for optimizing nutritional quality and industrial applications. This study compares the performance of multiple linear regression (MLR) and artificia...
Food Storage Pigments, Biological Color Anthocyanins Fruit Linear Models Freezing Carotenoids Neural Networks, Computer Machine Learning Antioxidants
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Classifying Storage Temperature for Mandarin ( L.) Using Bioimpedance and Diameter Measurements with Machine Learning.

Sensors (Basel, Switzerland) Apr 21, 2025
Mandarin ( L.) is consumed worldwide. Improper storage temperatures cause flavor loss and shorten shelf lives, reducing marketability. Mandarins' quality is difficult to assess visually, as they show no apparent changes during storage. Therefore, a s...
Citrus Food Storage Machine Learning Temperature Electric Impedance
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Rapid and chemical-free technique based on hyperspectral imaging combined with artificial intelligence for monitoring quality and shelf life of dried shrimp.

Food research international (Ottawa, Ont.) Apr 18, 2025
A rapid and chemical-free method based on hyperspectral imaging (HSI) integrated with artificial intelligence (AI) for monitoring dried shrimp quality was developed. Dried shrimp was packaged in a polypropylene bag and chronologically monitored for c...
Principal Component Analysis Nitrogen Hyperspectral Imaging Neural Networks, Computer Artificial Intelligence Animals Thiobarbituric Acid Reactive Substances Food Storage Food Quality Xanthophylls Penaeidae Shellfish
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Tracking nutritional and quality changes in frozen pork: A 12-month study using 7 categories of meat parameters and VIS/NIR spectroscopy.

Food chemistry Mar 22, 2025
Frozen pork stocks are critical for stabilizing food security and prices, but assessing nutritional and physicochemical changes during freezing remains challenging. This study conducted a 12-month frozen storage experiment at -20 °C on 50 pigs' longi...
Fatty Acids Muscle, Skeletal Animals Nutritive Value Meat Swine Freezing Amino Acids Spectroscopy, Near-Infrared Red Meat Food Storage Pork Meat
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Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration.

Food research international (Ottawa, Ont.) Feb 21, 2025
This work explored the light propagation of purees from a large variability of apple cultivar, storage period and heating duration based on their optical absorption (μ) and reduced scattering (μ') properties at 900-1650 nm, in order to better monitor...
Neural Networks, Computer Monte Carlo Method Malus Food Storage Rheology Deep Learning Viscosity Light Fruit Hot Temperature
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X-ray irradiation as a potential postharvest treatment for maintaining the quality of lily (Lilium davidii var. unicolor) bulbs and predicting shelf life using an artificial neural network.

Food research international (Ottawa, Ont.) Dec 31, 2024
This study aimed to investigate the impact of X-ray irradiation pretreatment at varying doses (0.5, 1.0, 1.5, 2.0 kGy) on the preservation quality of lily bulbs and to elucidate its potential regulatory mechanisms. The findings revealed that X-ray ir...
Food Preservation Food Storage X-Rays Lilium Food Irradiation Antioxidants Plant Roots Lipid Peroxidation Neural Networks, Computer
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Evaluation and prediction of the physical properties and quality of Jatobá-do-Cerrado seeds processed and stored in different conditions using machine learning models.

Scientific reports Nov 28, 2024
The conservation of seed quality throughout storage depends on established conditions, monitoring, sampling and laboratory analysis, which are subject to errors and require technical and financial resources. Thus, machine learning techniques can help...
Machine Learning Seeds Food Storage Neural Networks, Computer
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Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.

Scientific reports Nov 8, 2024
The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply...
Quality Control Food Storage Food Supply Food Safety Machine Learning Temperature Models, Theoretical
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Lipidomics combined with random forest machine learning algorithms to reveal freshness markers for duck eggs during storage in different rearing systems.

Poultry science Aug 14, 2024
The differences in lipids in duck eggs between the 2 rearing systems during storage have not been fully studied. Herein, we propose untargeted lipidomics combined with a random forest (RF) algorithm to identify potential marker lipids based on ultra-...
Egg Yolk Ovum Egg White Animals Random Forest Machine Learning Lipidomics Animal Husbandry Algorithms Tandem Mass Spectrometry Ducks Lipids Food Storage
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