Deviation of behavioural and productive parameters in dairy cows due to a lameness event: a synthesis of reviews

L Magrin, B Contiero, G Cozzi, F Gottardo… - Italian Journal of …, 2023 - Taylor & Francis
Lameness is a widespread multifactorial condition affecting the health and performance of
dairy cows. Despite the growing support by precision farming technologies, farmers still lack …

[HTML][HTML] Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins

KM Tiplady, TJ Lopdell, RG Sherlock, TJJ Johnson… - Journal of Dairy …, 2022 - Elsevier
Fourier-transform mid-infrared (FT-MIR) spectroscopy is a high-throughput and inexpensive
methodology used to evaluate concentrations of fat and protein in dairy cattle milk samples …

IoHT-based deep learning controlled robot vehicle for paralyzed patients of smart cities

MH Calp, R Butuner, U Kose, A Alamri… - The Journal of …, 2022 - Springer
Paralysis caused by physical trauma is a common disease today, with approximately 30% of
paralysis caused by this trauma. The disease in question both physically restricts mobility …

Importance of mid-infrared spectra regions for the prediction of mastitis and ketosis in dairy cows

S Gruber, L Rienesl, A Köck, C Egger-Danner… - Animals, 2023 - mdpi.com
Simple Summary Mid-infrared spectral regions are routinely used to predict milk
components, such as fat and protein, but can also be assisting to detect diseases in dairy …

An Edge-Centric Industrial IoT Solution for Smart Dairy Processing

RU Mhapsekar, N O'Shea, S Davy… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Enhancing productivity and efficiency in dairy processing is crucial for maintaining the safety
and quality of dairy products. This necessitates the implementation of smart solutions. With …

Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks

K Chu, R Liu, X Shen, G Duan - Food Chemistry, 2025 - Elsevier
In dairy enterprises, predicting product quality attributes that are influenced by operating
parameters is a major task. To reduce quality loss in production, a prediction-based quality …

IoT and machine learning-based systems for predicting cattle health status for precision livestock farming

D Kaur, A Kaur - 2022 International Conference on Smart …, 2022 - ieeexplore.ieee.org
The livestock farming industry has turned into a focal point for research nowadays.
Particularly, the animal health conditions are of utmost importance because the human …

Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) …

C Chu, H Wang, X Luo, Y Fan, L Nan, C Du, D Gao… - Heliyon, 2024 - cell.com
There is an evident requirement for a rapid, efficient, and simple method to screen the
authenticity of milk products in the market. Fourier transform infrared (FTIR) spectroscopy …

Discriminating milk storage time with mid-infrared spectra combined with machine learning

J Su, Y Chen, L Nan, H Wang, X Luo, Y Fan… - International Dairy …, 2024 - Elsevier
Classification models for rapid discrimination of milk storage time were developed. Buffalo
raw milk (BuR) and bovine raw (BoR), pasteurised (BoP) and ultra-high temperature …

A study on the development and the application strategy of FT-MIRS-based models for the diagnosis of subclinical mastitis and milk quality classification in buffaloes

C Chu, L Ding, X Ren, L Nan, C Du, P Wen, Y Fan… - Microchemical …, 2024 - Elsevier
Buffalo mastitis detection and buffalo milk quality are of great importance to the world dairy
industry. Somatic cell count (SCC) can be employed to assess mammary gland health and …