Automation of Cattle Livestock

Abstract

This paper introduces the "Automation of Cattle Livestock" project, designed to address the challenges in cattle management using advanced technologies. The platform integrates IoT devices and machine learning to monitor cattle health, detect diseases like Lumpy Skin Disease (LSD), and enhance herd management. Leveraging tools such as RFID for real-time tracking and image processing algorithms for disease detection, the system ensures timely interventions. A robust backend supported by cloud storage manages large datasets, while a user-friendly interface enables seamless interaction. This paper explores the system's architecture, methodologies, and its potential to revolutionize cattle management, improving animal health and farmer livelihoods.

Keywords: agriculture, livestock management, RFID, machine learning, data analytics, cattle health