AI 054 · Aquaculture AI

AI Feed Recommendation

Compares options, recommends the setting or plan with the best outcome and shows the expected gain. Data sources: Feeding, FCR, Feed stock, Camera image analyses.

  • OptimisationModule type
  • 4Data source
  • 15Language

What you can ask this module

Tap a suggested question or type your own; the answer is generated instantly from demo data. In vision modules you can also upload a photo in the live demo.

Ask the AILive answers from demo data · no sign-up needed
What is the best option for feeding?

Optimisation recommendation

Feeding — Feed by cage (higher is better)

#UnitValueVersus average
1KFS-0113,370.50 kg+115%
2KFS-029,770.90 kg+57%
3AKM-013,544.40 kg-43%
4KFS-042,890.10 kg-54%
5AKM-021,574.50 kg-75%
  • Best: KFS-01 (13,370.50 kg); weakest: AKM-02 (1,574.50 kg). The gap is 11,796.00 kg.
  • Recommendation: compare AKM-02 practices with KFS-01; just bringing the weak unit up to the average (6,230.08 kg) gives a clear improvement.

FCR — FCR by batch (lower is better)

#UnitValueVersus average
1AL-2026-011.58-2%
2AL-2026-021.58-2%
3LV-2026-021.60-1%
4LV-2026-011.63+1%
5CP-2026-021.67+4%
  • Best: AL-2026-01 (1.58); weakest: CP-2026-02 (1.67). The gap is 0.09.
  • Recommendation: compare CP-2026-02 practices with AL-2026-01; just bringing the weak unit up to the average (1.61) gives a clear improvement.

Data summary

  • Feeding — Feeding records: 150, Total feed: 31,150 kg, Average feeding rate: 1.10 %
  • FCR — FCR calculations: 15, Average FCR: 1.61, Feed used: 92,582 kg, Biomass gain: 56,849 kg
  • Feed stock — Feed lots: 2, Feed remaining: 6,961 kg, Average purchase price: 37.55 ₺
  • Camera image analyses — Frames analysed: 5, Average fish count: 66,703 pcs, Dead seen: 46 pcs, Average feeding score: 64.1

Recommended actions

  • Indicators are within normal range. Keep recording regularly; forecast accuracy improves as the number of records grows.

This answer was produced by the local analysis engine (statistical analysis, no LLM connected). Connect a provider in AI Settings for richer natural-language answers.

Answers are generated from demo data by the local analysis engine. In your own system you can connect OpenAI, Claude, Gemini or an on-premises model.

Standard ERP modules it processes

  • Feeding
  • FCR
  • Feed stock
  • Camera image analyses

Packages that include this module

Other modules in Aquaculture AI

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