AIMC Topic: Milk

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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...
Listeria monocytogenes Milk Cronobacter sakazakii Biosensing Techniques Food Microbiology Silicon Dioxide Neural Networks, Computer Machine Learning Animals Point-of-Care Systems
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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...
Starch Milk Cocos Animals Spectroscopy, Near-Infrared Deep Learning
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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...
Animals Cattle Genomics Phenotype Female Dairying Behavior, Animal Genotype Lactation Milk Machine Learning Algorithms
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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...
Machine Learning Mastitis, Bovine Cattle Dairying Lactation Milk Female Animals
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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...
Augmented Reality Milk Dairying Estrus Detection Livestock Deep Learning Cattle Female Artificial Intelligence Animals
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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...
Robotics Cell Count Milk Lactation Female Mammary Glands, Animal Sweden Animals Cattle
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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...
Machine Learning Algorithms Animals Mass Spectrometry Discriminant Analysis Milk
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Acute Stress-Induced Changes in the Lipid Composition of Cow's Milk in Healthy and Pathological Animals.

Molecules (Basel, Switzerland) Jan 18, 2023
Producers of milk and dairy products have been faced with the challenge of responding to European society's demand for guaranteed animal welfare production. In recent years, measures have been taken to improve animal welfare conditions on farms and e...
Haptoglobins Health Status Lipids Milk Animals Artificial Intelligence Cattle Female
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The estimation and interpretation of ordered logit models for assessing the factors connected with the productivity of Holstein-Friesian dairy cows in Egypt.

Tropical animal health and production Oct 15, 2022
The incorporation of novel technologies such as artificial intelligence, data mining, and advanced statistical methodologies have received wide responses from researchers. This study was designed to model the factors impacting the actual milk yield o...
Animals Plant Breeding Egypt Artificial Intelligence Cattle Female Lactation Logistic Models Milk
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Accurate detection of dairy cow mastitis with deep learning technology: a new and comprehensive detection method based on infrared thermal images.

Animal : an international journal of animal bioscience Sep 29, 2022
Mastitis is one of the most common diseases in dairy cows and has a negative impact on their welfare and life, causing significant economic losses to the dairy industry. Many attempts have been made to develop a detection method for mastitis using th...
Cell Count Deep Learning Dairying Milk Cattle Female Mammary Glands, Animal Mastitis, Bovine Cattle Diseases Animals Thermography
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