AIMC Topic: Cattle

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Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views.

PloS one
Monitoring cattle behavior plays an important role in improving farm productivity, maintaining animal welfare, and supporting efficient management practices. This study presents a multi-view behavior recognition system that uses synchronized top-view...

ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction.

Genetics, selection, evolution : GSE
BACKGROUND: Various methods have been widely utilized to estimate the genomic breeding values (GEBVs) for genomic prediction. Traditional approaches often relied on the assumption of linear regression models, which struggle to effectively capture the...

Data-Driven Machine Learning Framework for the Regulation of Protein Adsorption on Surfaces.

Langmuir : the ACS journal of surfaces and colloids
Protein adsorption on surfaces is a highly complex process, governed by intricate interactions between protein, surface and surrounding environment. However, accurately predicting protein adsorption amounts and precisely controlling adsorption behavi...

Deep Learning Algorithms Enabled Visual Detection of Anthrax Biomarkers by MnO Nanozyme-Based Colorimetric Sensor Array.

Analytical chemistry
This study develops an innovative approach that integrates a colorimetric sensor array (CSA) composed of phenylalanine-modified MnO nanozymes with advanced algorithms, aiming to detect the anthrax biomarker 2,6-pyridine dicarboxylic acid (2,6-PDA) an...

Classification of individual dairy cow behaviors using accelerometer, gyroscope, and integrated sensor models.

BMC veterinary research
BACKGROUND: Automated behavior monitoring is increasingly important in precision dairy farming, supporting early disease detection, welfare assessment, and productivity optimization. Although accelerometers effectively detect postural changes, they h...

CattleNet-XAI: An explainable CNN framework for efficient cattle weight estimation.

PloS one
Accurate estimation of cattle weight is essential for effective farm management, health assessment, and productivity optimization. Traditional manual methods for weight estimation, however, are labor-intensive, time-consuming, and prone to inaccuraci...

Comparative evaluation of SNP-weighted, Bayesian, and machine learning models for genomic prediction in Holstein cattle.

BMC genomics
BACKGROUND: Genomic Best Linear Unbiased Prediction (GBLUP) assumes that all SNPs contribute equally to genetic variance, including those with minimal impact, limiting its accuracy. A major challenge in animal breeding is to develop more scientific m...

Analysis of sperm beating characteristics using microfluidic trapping and machine-learning-based flagellum tracking.

Lab on a chip
Male infertility affects a significant portion of couples worldwide, with standard semen analysis often failing to identify functional deficiencies in sperm performance. This study presents a microfluidic platform for characterizing sperm flagellar b...

Decoding the spectrum of meat quality: advances in hyperspectral imaging for multi-attribute analysis.

Food chemistry
Hyperspectral imaging (HSI) has emerged as a powerful non-destructive technique for evaluating fresh meat quality across multiple attributes simultaneously. This review critically examines recent advances in HSI applications for fresh beef, pork, and...

Hybrid plant-dairy cheese: Effects of lactic acid bacteria and plant proteins on composition, proteolysis, and flavor profile.

Food chemistry
In the search to improve the sustainability of the food supply chain, the market for plant-based cheese analogs is growing. However, sensory defects, particularly related to flavor, remain a challenge. Here we developed a hybrid plant-dairy cheese th...