Role of Machine Learning in Livestock Health Monitoring System: A Systematic Literature Review
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 2
Abstract
Machine Learning (ML) can significantly enhance livestock management in various ways by providing real-time insights into animal health, behavior, and well-being. Livestock production, monitoring, and management can be revolutionized by using ML techniques. This study presents a comprehensive review of the literature regarding IoT devices used for monitoring cattle health, key characteristics of these devices, wearable technology used, sensors, and ML algorithms. In order to complete the review, a thorough examination and synthesis of the research articles published in reputable research venues between 2018 and 2023 are conducted. The findings revealed that pressure and pulse-rate sensors are the most often utilized types for recording the health status of animals experiencing health issues.
Authors and Affiliations
Muhammad Mohsin Raza, Rabia Tehseen1, Uzma Omer, Muhammad Qasim, Usman Aamer, Ramsha Saeed, Muhammad Farrukh Khan
Keywords
Related Articles
- EP ID EP769786
- DOI -
- Views 9
- Downloads 0
Lightweight Cryptography Algorithms for Internet of ThingsEnabled Networks.A Comparative Study
The rapid advancement of technology has facilitated the interconnection of numerous devices, enabling the collection of vast amounts of data. Consequently, ensuring security within IoT networks has become a top priorit...
Exploring Character-Based Stylometry Features Using Machine Learning for Intrinsic Plagiarism Detection in Urdu
Plagiarism detection in natural language processing (NLP) plays a crucial role in maintaining textual integrity across various domains, particularly for low-resource languages like Urdu. This study addresses the emergi...
SSOCANET -Empowering VANETs with Salp Swarm Optimization-Enhanced Clustering Algorithm
Vehicular Ad hoc networks (VANETs) present significant challenges due to the dynamic nature of vehicle movements, leading to a constantly changing vehicular network topology. This instability results in packet loss, ne...
Securing Pakistan's Cyberspace Cyber Counter Intelligence Strengths, WeaknessesandStrategies
Cyberspace is fundamental in the contemporary world for economies, societies and politics. It has many advantages with plenty of disadvantages. The evolution of digital technology in Pakistan has given advancement and...
Analyzing the Shadows:Machine Learning Approaches for Depression Detection on Twitter
Depression is a leading cause of disability worldwide, affecting approximately 4.4% of the global population. It can escalate from mild symptoms to severe outcomes, including suicide, if not treated early. Thus, develo...