AIMC Topic: Dairying

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Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle.

Sensors (Basel, Switzerland) Jan 3, 2023
Effective livestock management is critical for cattle farms in today's competitive era of smart modern farming. To ensure farm management solutions are efficient, affordable, and scalable, the manual identification and detection of cattle are not fea...
Humans Algorithms Female Cattle Agriculture Dairying Animals Farms Deep Learning
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Livestock Identification Using Deep Learning for Traceability.

Sensors (Basel, Switzerland) Oct 28, 2022
Farm livestock identification and welfare assessment using non-invasive digital technology have gained interest in agriculture in the last decade, especially for accurate traceability. This study aimed to develop a face recognition system for dairy f...
Agriculture Dairying Female Animals Livestock Humans Farms Deep Learning Cattle
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Lightweight individual cow identification based on Ghost combined with attention mechanism.

PloS one Oct 6, 2022
Individual cow identification is a prerequisite for intelligent dairy farming management, and is important for achieving accurate and informative dairy farming. Computer vision-based approaches are widely considered because of their non-contact and p...
Animals Cattle Dairying Humans Artificial Intelligence Female
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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...
Female Cattle Diseases Cell Count Milk Animals Deep Learning Cattle Mammary Glands, Animal Thermography Mastitis, Bovine Dairying
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Validation of a deep learning-based image analysis system to diagnose subclinical endometritis in dairy cows.

PloS one Jan 28, 2022
The assessment of polymorphonuclear leukocyte (PMN) proportions (%) of endometrial samples is the hallmark for subclinical endometritis (SCE) diagnosis. Yet, a non-biased, automated diagnostic method for assessing PMN% in endometrial cytology slides ...
Dairying Endometritis Image Processing, Computer-Assisted Endometrium Female Reproducibility of Results Animals Leukocytes, Mononuclear Deep Learning Cattle
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Individual dairy cow identification based on lightweight convolutional neural network.

PloS one Nov 29, 2021
In actual farms, individual livestock identification technology relies on large models with slow recognition speeds, which seriously restricts its practical application. In this study, we use deep learning to recognize the features of individual cows...
Image Processing, Computer-Assisted Neural Networks, Computer Dairying Algorithms Female Animals Cattle
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Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows.

Scientific reports Jul 1, 2021
Bovine mastitis is one of the most important economic and health issues in dairy farms. Data collection during routine recording procedures and access to large datasets have shed the light on the possibility to use trained machine learning algorithms...
Diagnosis, Computer-Assisted Prognosis Cattle Machine Learning Female Cell Count Mastitis, Bovine Animals Dairying
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Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.

Scientific reports Apr 8, 2021
Streptococcus uberis is one of the leading pathogens causing mastitis worldwide. Identification of S. uberis strains that fail to respond to treatment with antibiotics is essential for better decision making and treatment selection. We demonstrate th...
Animals Cattle Streptococcal Infections Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Mastitis, Bovine Dairying Anti-Bacterial Agents Pregnancy Female Machine Learning Streptococcus
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Feasibility of the use of deep learning classification of teat-end condition in Holstein cattle.

Journal of dairy science Feb 13, 2021
Infections with pathogenic bacteria entering the mammary gland through the teat canal are the most common cause of mastitis in dairy cows; therefore, sustaining the integrity of the teat canal and its adjacent tissues is critical to resist infection....
Mammary Glands, Animal Female Animals Deep Learning Cattle Lactation Mastitis, Bovine Cattle Diseases Dairying Feasibility Studies
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Application of machine learning to improve dairy farm management: A systematic literature review.

Preventive veterinary medicine Dec 18, 2020
In recent years, several researchers and practitioners applied machine learning algorithms in the dairy farm context and discussed several solutions to predict various variables of interest, most of which were related to incipient diseases. The objec...
Animals Machine Learning Female Cattle Dairying
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