Advanced Machine Learning and Deep Learning Techniques for Enhanced Cattle Identification and Detection: A Comprehensive Review
A comprehensive review published on arXiv details the application of machine learning and deep learning techniques for cattle identification. While traditional methods like K-Nearest Neighbors and Support Vector Machines show promise, deep learning models such as Convolutional Neural Networks and YOLO demonstrate superior performance in cognition, detection, and identification. The paper highlights challenges including limited datasets, data quality issues due to environmental factors, and the need for real-time processing, aiming to guide the development of sustainable livestock management systems. AI