AIMC Topic: Swine

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Toward a rapid, sensitive, user-friendly, field-deployable artificial intelligence tool for enhancing African swine fever diagnosis and reporting.

American journal of veterinary research Feb 28, 2025
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease with the potential for rapid international spread. Lateral flow assays (LFAs) are sometimes hard to read by the inexperienced user, mainly due to the ...
Swine Deep Learning Smartphone Artificial Intelligence Sensitivity and Specificity Animals African Swine Fever
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Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique.

Scientific reports Feb 28, 2025
Surgical castration of males is carried out on a large scale in the US swine industry and the pain resulting from this procedure can be assessed using the Unesp-Botucatu pig composite acute pain scale (UPAPS). We aim to propose a short version of UPA...
Pain Measurement Behavior, Animal Acute Pain Male Swine Orchiectomy Machine Learning Algorithms Animals
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Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM.

PloS one Feb 14, 2025
Livestock product prices serve as a barometer and bellwether for the agricultural market. However, traditional point prediction techniques focus mainly on tracking or fitting, resulting in limited information and challenges in evaluating the uncertai...
Livestock China Cattle Fuzzy Logic Algorithms Animals Models, Economic Commerce Swine
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[Investigation of impedance drop during lesions created by robot-assisted radiofrequency ablation].

Orvosi hetilap Feb 9, 2025
Robotic Surgical Procedures Catheter Ablation Electric Impedance Animals Swine Robotics
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Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research.

Sensors (Basel, Switzerland) Jan 28, 2025
In experimental research, animal welfare should always be of the highest priority. Currently, physical in-person observations are the standard. This is time-consuming, and results are subjective. Video-based machine learning models for monitoring exp...
Animal Welfare Behavior, Animal Monitoring, Physiologic Video Recording Machine Learning Animals Swine
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Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning.

Surgical endoscopy Jan 13, 2025
OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
Neural Networks, Computer Animals Swine Deep Learning Clinical Competence Humans Robotic Surgical Procedures Video Recording Models, Animal
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Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Meat science Jan 10, 2025
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts we...
Pork Meat Red Meat Deep Learning Paraspinal Muscles Principal Component Analysis Neural Networks, Computer Least-Squares Analysis Animals Hydrogen-Ion Concentration Swine Hyperspectral Imaging Cooking
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Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds.

American journal of veterinary research Jan 9, 2025
OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of porcine reproductive and respiratory syndrome (PRRS) virus and the basic demographic data on the severity of the impact on selected production paramet...
Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus Female Animals Disease Outbreaks Swine Ontario Longitudinal Studies Machine Learning Retrospective Studies
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Estimating body weight in Sujiang pigs using artificial neural network, nearest neighbor, and CART algorithms: a comparative study using morphological measurements.

Tropical animal health and production Jan 6, 2025
The objectives of this study were to evaluate different machine learning algorithms for predicting body weight (BW) in Sujiang pigs using the following morphological traits: age, body length (BL), backfat thickness (BFT), chest circumference (CC), bo...
Neural Networks, Computer Machine Learning Algorithms Swine China Body Weight Female Animals Male Sus scrofa
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A new prediction model based on deep learning for pig house environment.

Scientific reports Dec 28, 2024
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfar...
Deep Learning Housing, Animal Bayes Theorem Neural Networks, Computer Temperature Animal Welfare Ammonia Algorithms Animals Swine
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