OUR PRODUCT
Real-time SINORNIS data
that provides real insight
into your flock performance
Sinornis Poultry offers farmers a comprehensive hardware and software technology package that captures real-time data, enhancing transparency and facilitating informed on-farm decision-making. Using wireless sensors, Sinornis Poultry's distinctive data-driven solution monitors environmental and health parameters, allowing for analysis that identifies areas for improvement to optimize broiler bird performance and productivity.
GCAS
GW
GCAS
GCAS
GW
In cooperative sensor networks, a gateway plays a central role by connecting and consolidating data from multiple sensors. It facilitates seamless communication between sensors and the central data processing system, enabling real-time monitoring and efficient data analysis for informed decision-making. This gateway connection is vital for optimizing the performance of sensor networks in cooperative environments.
GCAS
Sinornis revolutionizes poultry farming with its groundbreaking GSAC sensor, an all-in-one solution for optimizing bird environments. The GSAC sensor combines the capabilities of our previous Gas Concentration and Weather Condition Analysis Systems to deliver a comprehensive monitoring tool. From ensuring immaculate coop air quality by tracking gases like H2S, NH3, and VOC, to offering real-time weather insights for precision farming, the GSAC sensor equips farmers with the data they need for informed decision-making. By monitoring both internal and external conditions, the GSAC sensor contributes to healthier, more productive flocks, advancing sustainability and innovation in avian agriculture.
Sinornis Sensors
The Advance Digital Filter (ADF) effectively handles noisy sensor data and some random external factors. It estimates the system state by combining predicted state and new measurements through a weighted average. ADF accurately estimates states impacted by disturbances and offers advantages over other techniques, describing experimental measurements' random structure. It considers neglected quantities like initial state estimate variance and model error variance. ADF provides estimation error variance, making it suitable for real-time digital processing without storing past data.