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Driven by reliability, precision, and global compatibility, JW-IoT aims to become a trusted global partner in IoT sensing and smart solution integration.

Aquaculture Monitoring System with IoT Automation

Real-Time Water Quality Monitoring • Smart Aeration Control • LoRaWAN & 4G Connectivity • Cloud-Based Aquaculture Management

Challengesin Modern Aquaculture Farming

Aquaculture farms are facing increasing pressure from water quality instability, rising labor costs, disease risks, and the need for higher production efficiency. Traditional manual monitoring methods are no longer sufficient for large-scale shrimp, fish, and pond farming operations.

  • Unstable Dissolved Oxygen Levels

    Low dissolved oxygen can directly affect fish and shrimp growth, feeding activity, and survival rate. Manual DO testing cannot provide continuous monitoring or early warning.

  • Water Quality Fluctuation

    pH, temperature, ammonia, salinity, turbidity, and ORP can change rapidly due to weather, feeding, water exchange, and biological activity.

  • Inefficient Aerator Operation

    Many farms still rely on manual aerator control, which may lead to excessive power consumption or delayed response during low-oxygen periods.

  • Lack of Centralized Pond Data

    Large farms often have multiple ponds, but water quality data is scattered or recorded manually, making it difficult to compare pond conditions and optimize production.

  • High Labor and Disease Risk

    Manual inspection increases labor workload and may fail to detect abnormal water quality in time, increasing the risk of disease outbreaks and production loss.

JW-IoT Aquaculture Monitoring Solution

A complete IoT-based aquaculture monitoring and automation system designed for shrimp ponds, fish farms, reservoirs, and intensive aquaculture projects. The system integrates water quality sensors, wireless communication, cloud platform, alarm notification, and smart equipment control.

  • Water Quality Monitoring
    · Dissolved Oxygen Monitoring
    · Water Temperature Monitoring
    · pH Monitoring
    · Salinity Monitoring
    · ORP Monitoring
    · Turbidity Monitoring
    · Ammonia Nitrogen Monitoring
    · Water Level Monitoring
  • Smart Aeration Control
    · Automatic aerator ON/OFF control
    · DO threshold-based control logic
    · Time-based aeration scheduling
    · Remote manual control from platform
    · Energy-saving aeration management
    · Multi-pond aerator status monitoring
  • Feeding and Pond Management
    · Feeding time recording
    · DO threshold-based control logic
    · Time-based aeration scheduling
    · Remote manual control from platform
    · Energy-saving aeration management
    · Multi-pond aerator status monitoring
  • Feeding and Pond Management
    · Feeding time recording
    · Pond condition tracking
    · Water exchange management
    · Growth cycle data management
    · Abnormal event records
    · Historical data comparison between ponds
  • Communication Options
    · LoRaWAN for large pond clusters
    · 4G LTE for remote aquaculture farms
    · RS485 Modbus sensor integration
    · MQTT Cloud API
    · Local gateway data collection
    · Solar-powered field monitoring stations
  • Cloud Platform Features
    · Real-time water quality dashboard
    · Pond map visualization
    · Alarm and notification
    · Mobile app access
    · Multi-pond management
    · Historical trend analysis
    · Equipment status monitoring
    · Remote aerator control
    · Data export and API integration

ArchitectureOverview

Water Quality Sensors → IoT Data Logger / Controller → LoRaWAN / 4G Gateway → Cloud Server → Web / Mobile App → Aerator / Pump / Alarm Control

  • Field Layer

    Water quality sensors are deployed in ponds, tanks, reservoirs, or aquaculture channels to collect real-time environmental data.

  • Control Layer

    IoT controllers and relay modules can connect with aerators, pumps, valves, feeders, and alarm devices.

  • Communication Layer

    Data can be transmitted through LoRaWAN or 4G depending on the farm environment.

  • Cloud Layer

    The cloud platform provides data processing, alarm rules, dashboard visualization, and remote equipment control.

Case Study– 40 Hectare Smart Shrimp Farm Project

Driven by reliability, precision, and global compatibility, JW-IoT aims to become a trusted global partner in IoT sensing and smart solution integration.

Project Type: Water Quality Monitoring and Smart Aeration Control for Shrimp Farming

Project Scale: 40 hectares

Communication: LoRaWAN + RS485 Modbus

  • Deployment:

    · 80 Dissolved Oxygen Sensor Nodes
    · 40 pH and Temperature Monitoring Points
    · 20 Salinity Sensors
    · 20 Water Level Monitoring Points
    · 60 Aerator Control Channels
    · 8 LoRaWAN Gateways
    · 1 Cloud-Based Aquaculture Management Platform

  • Results:

    ✔ 24-hour real-time dissolved oxygen monitoring
    ✔ 28% reduction in unnecessary aerator power consumption
    ✔ Faster response to low-oxygen risk events
    ✔ Improved pond management efficiency
    ✔ Reduced manual water quality inspection workload
    ✔ Centralized monitoring for all ponds from one dashboard

Why Choose JW-IoT?

Empower Your Smart Solutions

Empower Your Smart Solutions

  • Scenario-Driven Architecture

  • Compatible With Existing Greenhouse Motors

  • OEM / White Label Support

  • Multi-Protocol Integration

  • Modular & Scalable Design

  • Remote Technical Support

Empower Your Smart Solutions

  • Scenario-Driven Architecture

  • Compatible With Existing Greenhouse Motors

  • OEM / White Label Support

  • Multi-Protocol Integration

  • Modular & Scalable Design

  • Remote Technical Support

Scopeof Applications

JW-IoT aims to become a trusted global partner in IoT sensing and smart solution integration.

  • Suitable For

    Shrimp Farms
  • Suitable For

    Fish Ponds
  • Suitable For

    Intensive Aquaculture Farms

Ready to Upgrade Your Aquaculture Farm?

  • Get Free System Design
  • Request Quotation
  • Speak with Technical Engineer

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