AIMC Topic: Sheep

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DASNet a dual branch multi level attention sheep counting network.

Scientific reports Jul 2, 2025
Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and c...
Neural Networks, Computer Sheep Grassland Unmanned Aerial Devices Animals Animal Husbandry Deep Learning
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Effect of PUFAs-ω3 and ω6 on oxidative stress of sheep erythrocytes.

BMC veterinary research May 10, 2025
BACKGROUND: In recent years, the use of long-chain polyunsaturated fatty acids (PUFA) ω3 and ω6, as food supplements in livestock has increased due to their beneficial properties related to their antioxidant activity. It has been demonstrated however...
Sheep Antioxidants Erythrocytes Fatty Acids, Omega-6 Animals Fatty Acids, Omega-3 Dietary Supplements Oxidative Stress Reactive Oxygen Species
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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms.

BMC genomics Mar 31, 2025
BACKGROUND: Feed efficiency (FE) is an essential trait in livestock species because of the constant demand to increase the productivity and sustainability of livestock production systems. A better understanding of the biological mechanisms associated...
Algorithms Female Animals Machine Learning Eating Genomics Epigenomics Animal Feed DNA Methylation Sheep
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SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants.

Nature communications Mar 11, 2025
Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human diseases. Accurately genotyping SVs, particularly occurring at repetitive genomic regions, from short-read sequencing data remains challenging. Here,...
Genotyping Techniques Genomic Structural Variation Alleles Sheep Humans Genome, Human Machine Learning Cattle Animals Genomics Genotype
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Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression.

Journal of biomechanics Jan 30, 2025
The purpose of this study was to investigate the utility of neural networks to estimate the hip joint center location in sheep and compare the accuracy of neural networks to previously developed linear regression models. CT scans from 16 sheep of var...
Animals Male Sheep Linear Models Hip Joint Neural Networks, Computer Tomography, X-Ray Computed Female
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Comparison between AI and human expert performance in acute pain assessment in sheep.

Scientific reports Jan 3, 2025
This study explores the question whether Artificial Intelligence (AI) can outperform human experts in animal pain recognition using sheep as a case study. It uses a dataset of N = 48 sheep undergoing surgery with video recordings taken before (no pai...
Sheep Video Recording Facial Expression Artificial Intelligence Animals Pain Measurement Behavior, Animal Acute Pain Humans
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Rapid identification of horse oil adulteration based on deep learning infrared spectroscopy detection method.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 30, 2024
As a natural oil, horse oil has unique biological activity ingredients and therapeutic characteristics, which has important application value and market potential in healthcare, food, skin care and other fields. However, fraud is rampant in the horse...
Spectrophotometry, Infrared Oils Sheep Horses Animals Deep Learning Food Contamination
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A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection.

Computers in biology and medicine Dec 3, 2024
Heart diseases remain one of the leading causes of death worldwide. As a result, early and accurate diagnostics have become an urgent need for treatment and management. Most of the conventional methods adopted tend to have major drawbacks: the issues...
Heart Diseases Sheep Humans Databases, Factual Algorithms Animals Deep Learning
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Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.

Tropical animal health and production Sep 3, 2024
This study was designed to predict the post-weaning weights of Akkaraman lambs reared on different farms using multiple linear regression and machine learning algorithms. The effect of factors the age of the dam, gender, type of lambing, enterprise, ...
India Birth Weight Body Weight Sheep Linear Models Sheep, Domestic Female Animals Male Machine Learning Algorithms
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Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning.

Parasites & vectors Aug 21, 2024
BACKGROUND: Culicoides biting midges exhibit a global spatial distribution and are the main vectors of several viruses of veterinary importance, including bluetongue (BT) and African horse sickness (AHS). Many environmental and anthropological factor...
South Africa Random Forest Bluetongue virus Sheep Ecosystem Disease Outbreaks Cattle Machine Learning Ceratopogonidae Animals African Horse Sickness Horses Bluetongue Climate Insect Vectors
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