Step 1: Wearable Devices
Advanced sensors on collars, ear tags, or harnesses track temperature, heart rate, and movement for comprehensive monitoring. Wearable sensors are placed on livestock to collect real-time data, including temperature, heart rate, and activity levels.These devices come in various forms, including collar-based sensors, ear tags, leg bands, and neck tags or harnesses, each designed to suit different types of livestock. Collar-based sensors, worn around the neck, are equipped with GPS trackers, accelerometers, and temperature sensors, making them ideal for tracking movement.
Step 2: Cloud Processing
Data is securely transmitted to the cloud, stored with top-tier encryption, and prepped for in-depth analysis. The collected data is transmitted to the cloud, where it is securely stored and processed for further analysis. Once the data reaches the cloud, it is stored in secure servers. Cloud platforms typically have robust measures in place to ensure data protection, such as encryption and access controls.
Step 3: AI Analysis
Our AI algorithms detect early signs of illness or stress, providing precise insights from real-time data. AI-based health analysis leverages advanced algorithms to process and interpret large volumes of data collected from wearable sensors, enabling the early detection of illness, stress, or abnormal behavior in livestock. This process typically involves several key components, including data preprocessing, feature extraction, model training, and real-time analysis.
Step 4: Real-Time Alerts
Get instant notifications and actionable insights on your dashboard to act swiftly and protect your livestock.Farmers receive real-time alerts and actionable insights on their dashboard, enabling timely intervention to prevent health issues.It involves the delivery of real-time notifications and actionable insights to farmers through a centralized dashboard, enabling timely intervention to prevent health issues in livestock. This step is critical for translating complex data from wearable sensors and AI analyses into meaningful, user-friendly information.