Book

Ensuring optimal cattle health is critical to sustaining milk productivity and economic viability in modern dairy farming. However, conventional visual monitoring struggles to scale with expanding herd sizes and limited farm labour, often missing subtle physiological indicators of early-stage disease. This volume details an end-to-end Precision Livestock Farming (PLF) architecture integrating IoT wearable sensor nodes, wireless telemetry, and machine learning classification models. Designed for academics, graduate students, and IoT developers, the book covers the hardware design, data acquisition pipeline, and predictive algorithms required to turn raw livestock sensor data into actionable health alerts and real-time location intelligence.