AIMC Topic: Meat

Clear Filters Showing 11 to 20 of 59 articles

Exploration of the prediction and generation patterns of heterocyclic aromatic amines in roast beef based on Genetic Algorithm combined with Support Vector Regression.

Food chemistry Aug 31, 2024
Heterocyclic aromatic amines (HAAs) are harmful byproducts in food heating. Therefore, exploring the prediction and generation patterns of HAAs is of great significance. In this study, genetic algorithm (GA) and support vector regression (SVR) are us...
Amines Red Meat Hot Temperature Heterocyclic Compounds Animals Cattle Support Vector Machine Meat Meat Products Cooking Algorithms
View on PubMed DOI

Online chicken carcass volume estimation using depth imaging and 3-D reconstruction.

Poultry science Aug 23, 2024
Variability in the size of slaughtered chickens remains a longstanding challenge in the standardization of the poultry industry. To address this issue, we present a novel approach that uses volume as a grading metric for chicken carcasses. This innov...
Machine Learning Chickens Meat Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted
View on PubMed DOI

Modeling and predicting meat yield and growth performance using morphological features of narrow-clawed crayfish with machine learning techniques.

Scientific reports Aug 9, 2024
In recent studies, artificial intelligence and machine learning methods give higher accuracy than other prediction methods in large data sets with complex structures. Instead of statistical methods, artificial intelligence, and machine learning are u...
Artificial Intelligence Machine Learning Aquaculture Meat Astacoidea Female Animals Male
View on PubMed DOI

Sensor-Enhanced Smart Gripper Development for Automated Meat Processing.

Sensors (Basel, Switzerland) Jul 17, 2024
Grasping and object manipulation have been considered key domains of Cyber-Physical Systems (CPS) since the beginning of automation, as they are the most common interactions between systems, or a system and its environment. As the demand for automati...
Humans Algorithms Equipment Design Automation Animals Robotics Meat
View on PubMed DOI

Characterization of the prevalence of Salmonella in different retail chicken supply modes using genome-wide and machine-learning analyses.

Food research international (Ottawa, Ont.) Jun 19, 2024
Salmonella is a foodborne pathogen that causes salmonellosis, of which retail chicken meat is a major source. However, the prevalence of Salmonella in different retail chicken supply modes and the threat posed to consumers remains unclear. The preval...
Machine Learning Chickens Food Microbiology Meat Whole Genome Sequencing Serogroup Genome, Bacterial Prevalence China Salmonella Anti-Bacterial Agents Drug Resistance, Bacterial Animals
View on PubMed DOI

Machine learning powered CN-coordinated cobalt nanoparticles embedded cellulosic nanofibers to assess meat quality via clenbuterol monitoring.

Biosensors & bioelectronics Jun 13, 2024
The World Anti-Doping Agency (WADA) has prohibited the use of clenbuterol (CLN) because it induces anabolic muscle growth while potentially causing adverse effects such as palpitations, anxiety, and muscle tremors. Thus, it is vital to assess meat qu...
Clenbuterol Cobalt Aniline Compounds Nanofibers Cellulose Carbon Electrochemical Techniques Metal Nanoparticles Limit of Detection Meat Biosensing Techniques Food Contamination Food Analysis Machine Learning Animals
View on PubMed DOI

An effective deep learning fusion method for predicting the TVB-N and TVC contents of chicken breasts using dual hyperspectral imaging systems.

Food chemistry May 28, 2024
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are important freshness indicators of meat. Hyperspectral imaging combined with chemometrics has been proven to be effective in meat detection. However, a challenge with chemometrics ...
Animals Spectroscopy, Near-Infrared Nitrogen Hyperspectral Imaging Deep Learning Chickens Meat
View on PubMed DOI

Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass components of hair lambs: can biscuit bran completely replace corn? A machine learning approach.

Tropical animal health and production May 13, 2024
Biscuit bran (BB) is a co-product with worldwide distribution, with Brazil as the second largest cookie producer in the world with 1,157,051 tons. We evaluate the impact of completely replacing corn with BB on the characteristics and morphometry of c...
Zea mays Body Composition Animal Feed Red Meat Sheep, Domestic Diet Brazil Meat Animals Male Machine Learning
View on PubMed DOI

Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment.

Food chemistry Mar 21, 2024
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was developed for meat freshness real-time monitoring from development to deployment. The array was made up of copper metal nanoclusters (CuNCs) and fluorescent dyes, having...
Fluorescent Dyes Ammonia Food Storage Methylamines Deep Learning Meat Copper Animals Swine
View on PubMed DOI

Deep learning-assisted flavonoid-based fluorescent sensor array for the nondestructive detection of meat freshness.

Food chemistry Mar 4, 2024
Gas sensors containing indicators have been widely used in meat freshness testing. However, concerns about the toxicity of indicators have prevented their commercialization. Here, we prepared three fluorescent sensors by complexing each flavonoid (fi...
Coloring Agents Flavonoids Meat Nitrogen Neural Networks, Computer Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals