AI 061 · Aquaculture AI

AI Ammonia Risk Prediction

Finds abnormal values and threshold breaches, calculates a risk score and links likely causes. Data sources: Water quality, Mortality records, Fish stock, Biometrics.

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Risk and anomalyModule type
4Data source
15Language

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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

Is there anything abnormal in the water quality data right now?

Risk score: 48/100 — Medium

Oxygen below 5 mg/L — Water quality: 4.600
Biometrics / Average weight: +53% change — This period 204.0 g, previous period 133.7 g.

Data summary

Water quality — Measurement: 210, Average temperature: 19.5 °C, Average oxygen: 7.56 mg/L, Lowest oxygen: 4.60 mg/L
Mortality records — Mortality records: 10, Total dead: 841 pcs
Fish stock — Active batches: 5, Current count: 298,280, Biomass: 82,072 kg, Average weight: 239.1 g
Biometrics — Samplings: 20 (+100%), Average weight: 204.0 g (+53%), Average length: 21.3 cm (+9%)

Recommended actions

Oxygen below 5 mg/L: review the Water quality records, clarify the cause with the person responsible and open a task if needed.
Biometrics / Average weight: +53% change: review the Biometrics records, clarify the cause with the person responsible and open a task if needed.

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

Water quality
Mortality records
Fish stock
Biometrics

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