👉 Livestock computing is a distributed computing paradigm designed to efficiently manage and process large-scale, heterogeneous data generated by livestock management systems. It leverages cloud-based resources, such as those from the AWS IoT Greengrass and Azure IoT Edge platforms, to enable real-time data collection, analysis, and decision-making for agricultural operations. By deploying lightweight software agents ("livestock") on edge devices like sensors, cameras, and IoT gateways, livestock computing allows for localized data processing, reducing latency and bandwidth usage while ensuring scalability and reliability. This approach supports tasks like health monitoring of animals, feed optimization, and environmental control, ultimately enhancing productivity, sustainability, and profitability in livestock farming through intelligent, data-driven automation.
