Intelligent AI Management System for Feeders

By leveraging advanced sensing technologies and data analytics algorithms, the system monitors and integrates multiple environmental and biological parameters in real time during feeding, such as water quality indicators, surveillance footage, and results from behavioral recognition of farmed organisms, while also collecting meteorological and hydrodynamic data. Combining this with nutritional requirement models and feeding behavior characteristics for different aquaculture species at various stages and under different environmental conditions, an Intelligent decision-making module dynamically calculates the optimal feed quantity and precisely controls the timing, frequency, and location of feeding. Users can remotely and in real time control the feeder’s start/stop and adjust the feeding rate via a dedicated mobile app, enabling instant management. The app also supports customizing work schedules, allowing the system to automatically execute tasks according to the plan, reducing manual intervention and enhancing the level of automation.

Intelligent AI Management System for Feeders

1. Feed storage bin capacity: 80 kg
2. Maximum conveying distance: 80 m
3. Feeding accuracy: ±30 g
4. Number of pipes: 8–16
5. Feed particle size: 1–5 mm
6. Maximum feeding efficiency: 50 kg/h
7. Supports remote operation and 4G data transmission.
8. Configure the Ethernet communication interface to communicate with the Intelligent control CPU.

Product Features
Fault Diagnosis and Early Warning
Real-time monitoring of equipment operating status
Automatic anomaly alerting

Product feature
Real-time monitoring and integration of multidimensional parameters
Intelligent Precision Feeding Decision-Making
Remote Intelligent Control Function
Automation task execution and management