Continuously monitors vital signs like body temperature, heart rate, and respiration using collars or ear tags, enabling instant detection of anomalies for prompt intervention.
Tracks movement, eating, rumination, and lying times with sensors, identifying changes that signal stress, illness, or estrus for better management.
Uses AI algorithms to analyze sensor data, detecting early signs of diseases like lumpy skin disease, allowing timely treatment to prevent outbreaks.
Provides real-time location tracking and virtual boundaries, alerting farmers if livestock stray, enhancing security and pasture management.
Detects heat cycles or calving events through activity and temperature changes, improving breeding efficiency with precise timing for insemination.
Measures ambient temperature, humidity, and air quality, offering insights into environmental stressors affecting livestock health.
Sends text or app notifications about health issues, location breaches, or reproductive events, ensuring rapid response from farmers or veterinarians.
Employs AI and machine learning to predict health issues or optimize feeding and management based on historical and individual animal data.
Features non-invasive attachments (e.g., collars) and sustainable power options like solar panels or rechargeable batteries for low maintenance.
Provides data on individual animals (e.g., weight, milk composition) and herd trends (e.g., digestion patterns), supporting personalized care and farm efficiency.
Enables real-time data sharing with veterinarians via cloud connectivity, allowing remote diagnosis and advice based on wearable sensor data, reducing the need for on-site visits.
Monitors physiological indicators (e.g., cortisol levels or heart rate variability) to assess stress, helping farmers improve living conditions and reduce animal distress.