Elevating Precision: Predictive Diagnostics for Efficiency & Health
Kynad offers a suite of diagnostic tools to revolutionize livestock management. Our technologies combine AI, environmental monitoring, and biochemical analysis to enhance productivity, health, and sustainability.
AI Eye Camera
Revolutionize flock monitoring with AI-driven image recognition. This tool provides real-time tracking of health indicators with 98.5% accuracy, enabling early disease detection and predictive analytics.
Y-Series Sensors
Monitor environmental parameters like ammonia, humidity, and CO₂. These sensors ensure optimal conditions for livestock while reducing operational costs.
Unlock the future of livestock management with Kynad’s suite of cutting-edge diagnostic technologies, including the AI Eye Camera, Y-Series Sensors and Environmental Pathogen Diagnostic Equipment. These innovative tools provide unparalleled precision and data-driven insights to optimize livestock health, performance, and environmental efficiency.
AI Eye Camera: Revolutionize flock monitoring with advanced AI-driven image recognition. This technology enables real-time tracking of body weight, health indicators, and behavior patterns with 98.5% accuracy. By automating data collection and delivering early disease detection and predictive analytics, the AI Eye Camera eliminates labor-intensive hand-weighing, reduces stress on animals, and ensures optimal decision-making for feed and load-out scheduling.
Y-Series Sensors: Monitor critical environmental parameters such as ammonia levels, humidity, temperature, CO₂ concentration and water usage with precision. These robust sensors support both wired and wireless configurations, offering long-term reliability and reduced operational costs. The NH₃ reduction insights directly enhance livestock welfare, productivity, and compliance with sustainability goals.
Together, these solutions deliver a holistic approach to livestock management, ensuring higher productivity, healthier animals, and reduced environmental impact.
