AIMC Topic: Food Quality

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Machine learning and statistics to qualify environments through multi-traits in Coffea arabica.

PloS one Jan 12, 2021
Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of great relevance, as they can be indicators of the...
Brazil Genotype Cluster Analysis Machine Learning Food Handling Coffee Food Quality Principal Component Analysis Discriminant Analysis Coffea
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Authentication and Provenance of Walnut Combining Fourier Transform Mid-Infrared Spectroscopy with Machine Learning Algorithms.

Molecules (Basel, Switzerland) Oct 28, 2020
Different varieties and geographical origins of walnut usually lead to different nutritional values, contributing to a big difference in the final price. The conventional analytical techniques have some unavoidable limitations, e.g., chemical analysi...
Machine Learning Geography Food Quality Spectroscopy, Fourier Transform Infrared Juglans
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Portable Food-Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks.

Advanced materials (Deerfield Beach, Fla.) Oct 1, 2020
Artificial scent screening systems (known as electronic noses, E-noses) have been researched extensively. A portable, automatic, and accurate, real-time E-nose requires both robust cross-reactive sensing and fingerprint pattern recognition. Few E-nos...
Food Quality Colorimetry Cellulose Chitosan Porosity Nanocomposites Coloring Agents Deep Learning
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Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil.

Food chemistry Jul 24, 2020
In order to distinguish different vegetable oils, adulterated vegetable oils, and to identify and quantify counterfeit vegetable oils, a method based on a small sample size of total synchronous fluorescence (TSyF) spectra combined with convolutional ...
Neural Networks, Computer Support Vector Machine Plant Oils Food Quality Fraud Spectrometry, Fluorescence Least-Squares Analysis Sesame Oil
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Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.

Sensors (Basel, Switzerland) Jun 3, 2020
For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the qual...
Food Quality Electronic Nose Machine Learning Algorithms Food Analysis Cluster Analysis
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Food Liking-Based Diet Quality Indexes (DQI) Generated by Conceptual and Machine Learning Explained Variability in Cardiometabolic Risk Factors in Young Adults.

Nutrients Mar 25, 2020
The overall pattern of a diet (diet quality) is recognized as more important to health and chronic disease risk than single foods or food groups. Indexes of diet quality can be derived theoretically from evidence-based recommendations, empirically fr...
Food Quality Cardiometabolic Risk Factors Public Health Surveillance Diet Surveys Machine Learning Feeding Behavior Diet Humans Female Adolescent Adult Young Adult Male Nutrition Assessment
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Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique.

Meat science Nov 12, 2019
Pricing of Hanwoo beef in the Korean market is primarily based on meat quality, and particularly on marbling score. The ability to accurately predict marbling score early in the life of an animal is extremely valuable for producers to meet the requir...
Machine Learning Red Meat Reproducibility of Results Food Quality Republic of Korea Cattle Animals Image Processing, Computer-Assisted Ultrasonography
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Invited review: Hygienic quality, composition, and technological performance of raw milk obtained by robotic milking of cows.

Journal of dairy science Jun 27, 2019
Automatic milking systems (AMS), first introduced on dairy farms in the 1990s, rapidly spread across many countries. This technology is based on the voluntary milking of dairy cattle in a completely automated process, which relies on computer managem...
Dairying Technology Dairy Products Lactation Female Hygiene Animals Food Quality Milk Cattle Robotics
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Meat quality evaluation based on computer vision technique: A review.

Meat science Jun 5, 2019
Nowadays people tend to include more meat in their diet thanks to the improvement in standards of living as well as an increase in awareness of meat nutritive values. To ensure public health, therefore, there is a need for a rise in worldwide meat pr...
Fish Products Sheep Poultry Products Food Quality Meat Fishes Swine Artificial Intelligence Poultry Animals Cattle
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Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity - A review.

Food research international (Ottawa, Ont.) Mar 28, 2019
In recent years, the variety and volume of data acquired by modern analytical instruments in order to conduct a better authentication of food has dramatically increased. Several pattern recognition tools have been developed to deal with the large vol...
Food Quality Decision Trees Machine Learning Data Mining Food Analysis Statistics as Topic
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