AIMC Topic: Milk

Clear Filters Showing 31 to 40 of 126 articles

The determination of mastitis severity at 4-level using Milk physical properties: A deep learning approach via MLP and evaluation at different SCC thresholds.

Research in veterinary science May 21, 2024
Current research aims to generate an alternative model to classical methods in the determination of subclinical mastitis at 4 levels (healthy, suspicious, subclinical, and clinical). For this purpose, multilayer perceptron (MLP) artificial neural net...
Neural Networks, Computer Female Animals Cell Count Milk Mastitis, Bovine Deep Learning Cattle Severity of Illness Index
View on PubMed DOI

DairyCoPilot-Automated data compilation and analysis tools for DairyComp data assets.

PloS one Apr 18, 2024
Modern dairy farm management requires meaningful data and careful analysis to maximize profitability, cow health, and welfare. Current data platforms, such as DairyComp, lack robust integrated data analysis tools. Producers and consultants need dedic...
Dairying Farms Female Cattle Animals Milk
View on PubMed DOI

Integrating mid-infrared spectroscopy, machine learning, and graphical bias correction for fatty acid prediction in water buffalo milk.

Journal of the science of food and agriculture Apr 15, 2024
BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk. Fourier-transform mid-infrared (FT-MIR) spectroscopy is widely used for dairy analysis, but its application to buffalo milk, with larg...
Buffaloes Milk Machine Learning Spectroscopy, Fourier Transform Infrared Animals Fatty Acids
View on PubMed DOI

Machine-Learning-Assisted Aggregation-Induced Emissive Nanosilicon-Based Sensor Array for Point-of-Care Identification of Multiple Foodborne Pathogens.

Analytical chemistry Apr 15, 2024
How timely identification and determination of pathogen species in pathogen-contaminated foods are responsible for rapid and accurate treatments for food safety accidents. Herein, we synthesize four aggregation-induced emissive nanosilicons with diff...
Animals Point-of-Care Systems Biosensing Techniques Neural Networks, Computer Machine Learning Listeria monocytogenes Milk Cronobacter sakazakii Food Microbiology Silicon Dioxide
View on PubMed DOI

Exploring Deep Learning to Predict Coconut Milk Adulteration Using FT-NIR and Micro-NIR Spectroscopy.

Sensors (Basel, Switzerland) Apr 8, 2024
Accurately identifying adulterants in agriculture and food products is associated with preventing food safety and commercial fraud activities. However, a rapid, accurate, and robust prediction model for adulteration detection is hard to achieve in pr...
Cocos Deep Learning Starch Milk Animals Spectroscopy, Near-Infrared
View on PubMed DOI

Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle.

Journal of dairy science Feb 22, 2024
Identifying genome-enabled methods that provide more accurate genomic prediction is crucial when evaluating complex traits such as dairy cow behavior. In this study, we aimed to compare the predictive performance of traditional genomic prediction met...
Dairying Behavior, Animal Cattle Genomics Algorithms Animals Machine Learning Phenotype Lactation Genotype Female Milk
View on PubMed DOI

Performance comparison of machine learning models used for predicting subclinical mastitis in dairy cows: Bagging, boosting, stacking, and super-learner ensembles versus single machine learning models.

Journal of dairy science Feb 2, 2024
Mastitis has a substantial impact on the dairy industry across the world, causing dairy producers to suffer losses due to the reduced quality and quantity of produced milk. A further problem, related to this issue, is the excessive use of antibiotics...
Cattle Lactation Mastitis, Bovine Dairying Milk Machine Learning Female Animals
View on PubMed DOI

Estrus Detection and Dairy Cow Identification with Cascade Deep Learning for Augmented Reality-Ready Livestock Farming.

Sensors (Basel, Switzerland) Dec 13, 2023
Accurate prediction of the estrus period is crucial for optimizing insemination efficiency and reducing costs in animal husbandry, a vital sector for global food production. Precise estrus period determination is essential to avoid economic losses, s...
Deep Learning Cattle Milk Dairying Augmented Reality Female Animals Livestock Artificial Intelligence Estrus Detection
View on PubMed DOI

Indirect Sensing of Subclinical Intramammary Infections in Dairy Herds with a Milking Robot.

Sensors (Basel, Switzerland) Nov 8, 2023
This study determined the impact of subclinical intramammary infections (IMIs), such as the major and minor udder pathogens (MaPs and MiPs), on the somatic cell count (SCC) in cow milk and investigated the possibilities of indirect sensing of the udd...
Mammary Glands, Animal Cell Count Cattle Sweden Lactation Robotics Female Animals Milk
View on PubMed DOI

Machine learning-guided REIMS pattern recognition of non-dairy cream, milk fat cream and whipping cream for fraudulence identification.

Food chemistry Jul 24, 2023
The illegal adulteration of non-dairy cream in milk fat cream during the manufacturing process of baked goods has significantly hindered the robust growth of the dairy industry. In this study, a method based on rapid evaporative ionization mass spect...
Discriminant Analysis Milk Machine Learning Animals Algorithms Mass Spectrometry
View on PubMed DOI
Popular Topics
Recent Journals