Real-Time Mastitis Detection in Livestock using Deep Learning and Machine Learning Leveraging Edge Devices

Livestock production is a crucial part of the global economy with a worth of estimated $1.4 trillion. It provides livelihoods for 1.3 billion people and supports 600 million poor rural household farmers in developing countries. In Bangladesh, it contributes 6.5% to the country's GDP. However, this industry faces substantial financial setbacks when contagious diseases transmit among their livestock. One of the most common and expensive diseases affecting the livestock industry is Bovine Mastitis. This paper presents a real-time system for detecting bovine mastitis in livestock using deep learning (dl) and machine learning (ml) techniques. The system aims to provide a timely and accurate diagnosis of mastitis, ultimately reducing costs and improving the efficiency of treatment. By utilizing dl and ml…