Our IoT aquaculture technology uses technologies such as IoT, big data and artificial intelligence to help customers discover and deal with problems in a timely manner through the real-time monitoring and early warning system of the cloud platform, reduce disease losses, reduce labor costs and resource waste, and achieve precise and automated management of the breeding process.

Automation-First Design Minimizes Labor & Resource Waste

​​AI-Powered Feed/Oxygen Optimization​​:

Reduce feed waste by 18-35% via real-time ORP (Oxidation-Reduction Potential) monitoring

​​Energy-Smart Aeration​​:

Nano-bubble systems cut energy use by 40% while maintaining DO ≥5mg/L

​​Labor Reduction​​:

24/7 automation replaces 70% manual operations (feeding, water exchange)

Predictive Threat Management Before Losses Occur

​​Disease Outbreak Alerts​​:

Detect pH fluctuations (±0.5/hr) correlating to 92% pathogen outbreaks

​​Cascade Failure Prevention​​:

Integrated DO/Ammonia sensors trigger backups when NH₃-N >0.2mg/L

​​Stock Loss Shield​​:

Underwater robots identify abnormal fish behavior 72hrs before mortality

The sensor collects water level, water temperature,water PH, water EC, water dissolved oxygen and other data in real time. The weather station accurately monitors weather changes around the fish pond, such as strong winds and heavy rainfall, and transmits meteorological data to the cloud platform in real time. The high-definition underwater camera + AI camera can view real-time images. The controller controls the start and stop of the aerator, the quantitative feeding of the feeder, the flow adjustment of the water pump, etc. It also supports one-click control of the mobile phone APP to achieve remote, automatic feeding and water change.

Our IoT aquaculture management platform uses digital twin technology, combined with sensor data and video surveillance, to build an interactive three-dimensional model of the aquaculture environment, achieving data visualization and remote management. Customers can view real-time data through mobile APP/PC, set graded alarms (critical/over-threshold), and realize automated control of fish ponds (automatic water replacement/oxygenation/feeding over-threshold), greatly saving manpower and resources, and achieving precision and automation of aquaculture.

The project is equipped with six major systems, including a circulating water purification and treatment system, a fish fry entry and exit system, a constant temperature system, an automatic supplementary lighting system, an automatic feeding system, and an energy management system.

Through the Internet of Things perception and centralized software control, it achieves 7x24-hour fully automatic operation, realizing sterile and constant temperature breeding regardless of the season.

Closed-loop water management: IoT systems automate filtration, UV sterilization, and bio-remediation (e.g., using probiotic-infused water) based on real-time toxin/ammonia readings. Nanomaterials like Ag-NPs or CNTs are deployed to adsorb heavy metals when sensors detect pollution spikes

Disease Prevention​

pH anomaly detection + pathogen; database Reduce disease-related losses by 67%

Real-time biometric monitoring:

IoT sensors track fish behaviorand physiological stress indicators via underwater cameras/AI analytics, enabling early disease detection and optimized feeding schedules.

Automated environmental control:

Integrated sensors (O₂, pH, temperature) trigger automated adjustments in aeration, water exchange, or cooling systems when thresholds are breached, reducing mortality risks.

Based on standard aquaculture ponds or modern aquaculture factories, water quality monitoring systems, hardware automatic control systems, video surveillance systems, meteorological condition monitoring systems, mobile phone remote operation systems, etc. are constructed to achieve real-time monitoring and regulation control of the aquaculture water quality environment. Facilities and equipment such as automatic control oxygen pumps; Equipped with software functions such as agricultural operation management, input management, biological growth monitoring, statistics and analysis, etc., to achieve full digital coverage throughout the entire park.

Yes – Our modular system supports:

Phase 1: Deploy sensors + gateway ($12k)

Phase 2: Add automation controls ($18k)

Phase 3: Blockchain/robotics ($22k)

12-18 months typically:

Labor savings: $48k/yr

Feed reduction: $35k/yr

Mortality drop: $62k avoided loss

$140k hardware cost covered in Year 1.

89% accuracy via machine learning:

Trained on 700+ outbreak events

Cross-references pH shifts, gill movement, and feeding response

Sends Tier-3 alerts (72hr pre-symptom window)