Feeding Systems
Automatic, blower, and AI-driven feeders for tanks, ponds and cages.
Overview
Feeding systems deliver feed on schedule and, increasingly, on demand — from simple time-based feeders to AI-vision systems that adjust in real time based on fish behaviour.
Where it is used
- Ponds
- Tanks & raceways
- Marine cages
- Hatcheries
Typical applications
- Reduce labour
- Cut FCR through better distribution
- Enable night feeding
- Track feed use per pond / tank
Benefits
- 1–3% lower FCR
- Consistent feed distribution
- Data logging for KPIs
- Fewer human-error events
Limitations
- CAPEX vs simple manual feeding
- AI systems need training data and stable power/network
- Blower systems can bruise pellets
Typical project sizes: From single-tank farms to full cage clusters with 40+ feed lines.
Timer vs Blower vs AI-Vision
| Parameter | Timer feeder | Blower / pneumatic | AI-vision |
|---|---|---|---|
| CAPEX / unit | Low | Medium | High |
| Typical FCR benefit | Baseline | -2% | -3 to -7% |
| Labour saving | Medium | High | Very high |
| Data logging | Minimal | Good | Full |
| Best for | Small farms | Multi-pond & cages | High-value species, RAS |
Buying guide
How to evaluate suppliers
- Look for pellet-friendly transport (low bruising)
- Field-proven references in your species and site type
- Open protocol for SCADA integration
Common purchasing mistakes
- Buying AI systems without robust network at cages/ponds
- Ignoring feed silo sizing
- Skipping calibration procedure
Technical questions to ask
- What is the guaranteed feed distribution accuracy (%)?
- Is API/OPC-UA integration available?
- What is the max pellet size supported?
Warranty considerations
- 12 months mechanical, 24 months control
Maintenance
- Weekly hose and outlet inspection
- Monthly calibration
Expansion capability
- Reserve blower/silo capacity
Energy efficiency
- Blowers dominate; select variable-speed motors
Lifecycle
- 8–12 years for feeders, 5–7 for control electronics
Technical specification checklist
Line-by-line items you should include in a vendor-neutral technical specification. Download as CSV to hand to your engineer or drop straight into the RFQ Builder.
Budget guide
| Project size | Indicative CAPEX | Indicative OPEX |
|---|---|---|
| Pond farm | USD 500–3k / feeder | USD 0.02–0.05/kg |
| RAS or raceway (100–500 t/y) | USD 30–150k | USD 0.03–0.08/kg |
| Cage cluster with AI feeding | USD 300k–2M | USD 0.05–0.10/kg |
Indicative ranges only. Real budgets depend on site, regulations, redundancy and scope. Use for internal planning — always validate with an engineering study.
Major cost drivers
- Number of feed points
- AI vision scope
- Silo capacity
Optional equipment
- Vision analytics upgrade
- Weather station integration
- Grading data upload
Installation notes
- Feed transport piping and blower rooms
Operating cost notes
- Feed cost dominates OPEX; feeder OPEX small
Maintenance reserve
- 3–5% CAPEX/year
Procurement checklist
- 1Confirm feed brand and pellet range
- 2Confirm daily feed load per point
- 3Confirm connectivity
- 4Draft specification with distribution accuracy KPI
- 5Independent calibration test
Supplier evaluation matrix
Score each supplier from 0 to 10 on each factor. Weights are pre-set with defensible defaults — override if your context differs.
| Factor | Weight | |||
|---|---|---|---|---|
Distribution accuracy | 25 | |||
Pellet-friendly transport | 20 | |||
Integration (SCADA / IoT) | 15 | |||
Local service | 15 | |||
Lifecycle cost | 15 | |||
Warranty | 10 | |||
| Weighted total | 100 | 0.0 | 0.0 | 0.0 |
Decision wizard
Frequently asked questions
Planning a project?
Now that you have the technical picture, get confidential quotations from project-matched international suppliers — or line up equipment financing first.
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