AIMC Topic: Food Technology

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Alkaline conditions better extract anti-inflammatory polysaccharides from winemaking by-products.

Food research international (Ottawa, Ont.)
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...

Assessment of Beer Quality Based on a Robotic Pourer, Computer Vision, and Machine Learning Algorithms Using Commercial Beers.

Journal of food science
UNLABELLED: Sensory attributes of beer are directly linked to perceived foam-related parameters and beer color. The aim of this study was to develop an objective predictive model using machine learning modeling to assess the intensity levels of senso...

High Throughput Multispectral Image Processing with Applications in Food Science.

PloS one
Recently, machine vision is gaining attention in food science as well as in food industry concerning food quality assessment and monitoring. Into the framework of implementation of Process Analytical Technology (PAT) in the food industry, image proce...

Searching for optimal setting conditions in technological processes using parametric estimation models and neural network mapping approach: a tutorial.

Analytica chimica acta
Engineering optimization is an actual goal in manufacturing and service industries. In the tutorial we represented the concept of traditional parametric estimation models (Factorial Design (FD) and Central Composite Design (CCD)) for searching optima...

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

Food research international (Ottawa, Ont.)
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...

Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development.

Comprehensive reviews in food science and food safety
The food flavor science, traditionally reliant on experimental methods, is now entering a promising era with the help of artificial intelligence (AI). By integrating existing technologies with AI, researchers can explore and develop new flavor substa...

Artificial intelligence in food science and nutrition: a narrative review.

Nutrition reviews
In the late 2010s, artificial intelligence (AI) technologies became complementary to the research areas of food science and nutrition. This review aims to summarize these technological advances by systematically describing the following: the use of A...

A critical review on the applications of artificial neural networks in winemaking technology.

Critical reviews in food science and nutrition
Since their development in 1943, artificial neural networks were extended into applications in many fields. Last twenty years have brought their introduction into winery, where they were applied following four basic purposes: authenticity assurance s...

Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.

Advances in biochemical engineering/biotechnology
Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automati...