Aquaculture

Autonomous Fish Feeding System

AI-enabled aquaculture automation platform.

Overview

AI-enabled aquaculture automation platform.

  • Aquaculture
  • Fish Farming

Problem Statement

Manual fish feeding is inconsistent, often over- or under-feeding stock, wasting feed and harming water quality while requiring constant on-site attention.

Challenges

  • Matching feed quantity and timing to actual fish behaviour and appetite
  • Maintaining water quality alongside automated feeding
  • Allowing remote operators to intervene when conditions change

Solution

Water quality monitoring runs alongside automatic feeding with configurable schedules, optimised continuously by AI analysis of fish behaviour. Operators get cloud dashboard analytics, mobile alerts and remote control to override feeding at any time.

Technology Stack

Technology Stack

  • Cloud Dashboard
  • AI Feeding Optimization
  • Mobile Alerts

Hardware Used

  • Water Quality Sensors
  • Automated Feeders
  • Cameras

Software Stack

  • Cloud Dashboard
  • AI behaviour-analysis service
  • Mobile alerting service

Communication Protocols

  • WiFi
  • REST APIs
  • Push Notifications

Sensor Details

Continuous water-quality monitoring alongside camera-based observation of fish behaviour around feeding times.

Automation Logic

Feed scheduling is automated and continuously tuned by AI feeding optimisation based on observed fish behaviour, with remote control available for manual overrides.

AI Features

  • Fish Behaviour Analysis
  • AI Feeding Optimization

Benefits

  • Reduced feed waste
  • Improved water quality
  • Less manual labour
  • Remote oversight via mobile alerts

Future Scope

Cross-pond feeding optimisation models, integration with fish-growth tracking for yield forecasting, and energy-efficient feeder hardware revisions.

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