It is a smart aquaculture management solution that uses real-time sensor data (e.g., dissolved oxygen, temperature, ammonia, pH, water level) combined with AI algorithms to automate and optimize farm operations like aeration, feeding, and water exchange.

• Aeration control (based on DO levels, temperature, OCR)
• Feeding schedules (based on fish biomass, growth rate, FCR, time of day, and weather)
• Water exchange or pumping (triggered by water quality thresholds)
• Alert system for critical conditions (e.g., low DO, high ammonia)
• Harvest and stocking planning using historical data and growth prediction

AI models:

• Predict oxygen demand (based on biomass, time, temperature)
• Optimize aerator run-time and reduce energy cost
• Suggest feeding amount and time to improve FCR
• Forecast fish growth and harvest size
• Identify abnormal fish behavior or disease symptoms (if cameras are used)

• Pond dimensions and depth
• Species being cultured
• Stocking weight and density
• Feed type and feeding schedule
• Initial water quality profile
• Historical farm performance (optional but useful for accuracy)

Yes, the system can operate autonomously, but manual override and review options are always available. It uses logic and AI to:

• Turn on/off aerators
• Send SMS/notification alerts
• Trigger feeding events
• Suggest decisions backed by data

The system offers two modes:

• Real-time cloud-based systems: Require continuous internet for remote monitoring and cloud-based analytics.
• Edge computing systems: Basic automation like aeration can work offline with periodic syncing when internet is available.

It uses:

• Stocking data and growth models (e.g., SGR-based)
• Feed input and FCR tracking
• Optional integration with underwater cameras and image processing for size estimation

• Low DO or high ammonia warning
• Power failure or aerator malfunction
• Daily feed recommendation
• Weekly water quality trends
• Harvest readiness alerts
• Economic projection (costs vs. revenue)

• Reduces risk of mass fish mortality
• Improves feed efficiency and growth
• Saves time and energy costs
• Makes smart planning decisions
• Provides clear, data-backed insights

The system can:

• Fetch local weather forecasts
• Suggest proactive actions (e.g., run aerator before rain)
• Alert farmers to increase pond water depth or reduce feeding

Yes. The system supports multi-pond management with individualized sensor data, controls, and insights for each pond.

Yes, it can be retrofitted with:

• Paddle wheel aerators
• Water pumps
• Manual or automatic feeders

Even if sensors are limited, semi-automated logic can still improve efficiency.

• Live pond monitoring
• Device status (aerators, feeders)
• Automated or manual control
• Daily summary and reports
• Voice-enabled AI assistant for recommendations