AI Medical Compendium Journal:
Journal of food science

Showing 21 to 30 of 35 articles

Convolutional neural network-based portable computer vision system for freshness assessment of crayfish (Prokaryophyllus clarkii).

Journal of food science
Developing novel techniques for freshness assessment are of the utmost importance in yield and trade of aquatic products. The crayfish (Prokaryophyllus clarkii) is one of the most popular freshwater products in China, and its food safety should be a ...

Identification of coumarin-based food additives using terahertz spectroscopy combined with manifold learning and improved support vector machine.

Journal of food science
The purpose of this paper is to use terahertz (THz) spectroscopy combined with manifold learning and improved support vector machine (SVM) model to identify the coumarin-based food additives. The 216 THz absorbance spectra (144 for calibration set an...

Research on nondestructive identification of grape varieties based on EEMD-DWT and hyperspectral image.

Journal of food science
Grape varieties are directly related to the quality and sales price of table grapes and consumed products (raisin, wine, grape juice, etc.). To satisfy the identification requirements of rapid, accurate, and nondestructive detection, an improved deno...

Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

Journal of food science
The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was optimized using a fuzzy logic algorithm. The fuzzy optimization algorithm was developed using a modified Takagi and Sugeno's approach, polynomial mix...

Machine learning in classification and identification of nonconventional vegetables.

Journal of food science
Vegetables are important in economic, social, and nutritional matters in both the Brazilian and international scenes. Hence, some researches have been carried out in order to encourage the production and consumption of different species such as nonco...

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...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

Journal of food science
It is more attractive to develop effective strategies to reduce sugar intake without compromising food quality with the rising prevalence of obesity and diabetes around the world. Due to its high cost, tagatose has not been widely adopted as a sucros...

Mushroom species classification and implementation based on improved MobileNetV3.

Journal of food science
Current methods for mushroom species classification face limitations in generalization ability and lack exploration of model deployment. To address these issues, this study systematically compares five models, including Transformer and common convolu...

Using pretrained models in ensemble learning for date fruits multiclass classification.

Journal of food science
Date fruits are a primary agricultural product that comes in a variety of textures, colors, and tastes; hence, the correct classification is crucial for quality control, automatic sorting, and commercial applications. Deep learning has surely shown c...

Image-based food groups and portion prediction by using deep learning.

Journal of food science
Chronic diseases such as obesity and hypertension due to malnutrition can be prevented by following the appropriate diet, correct diet intake with correct measuring portion size, and developing healthy eating habits. Having a system that can automati...