Why it matters
Without this, juice can missettle, enzymes misapplied, unsettled must cause off-flavors, and inconsistent turbidity leads to poor extraction and regulatory issues.
From design to safety
Design
AI design for juice settling
Assess data needs for settling kinetics, enzyme reactions, and SO2 behavior; specify sensors and records for turbidity, pH, Brix, YAN, and microbial indicators to guide initial dosing; define data governance and versioning; design dashboards that present actionable summaries to the cellar team and QA.
- settling tanks
- pectic enzymes
- flotation
Build
Install data capture for must care
Integrate inline turbidity meters, inline refractometer, CO2 sensors, pH and Brix probes, dosing systems for enzymes and sulfites, and a scalable data warehouse; establish data schemas, calibration procedures, provenance logs, and alert routing for the entire crush.
- SO2 additions
- juice turbidity
- nutrient additions
Operation
Real-time juice handling decisions
AI monitors turbidity, settling rate, enzyme activity, microbial indicators, and nutrient status to adjust settling time, enzyme addition, and SO2 dosage during crush and press; generates batch-ready flags; creates daily batch summaries and exception reports for the lab.
- settling tanks
- pectic enzymes
- SO2 additions
Maintenance
Maintain sensors and chemicals
Calibrate turbidity sensors, verify enzyme potency with lot certificates, maintain dosing pumps, CIP cleaning cycles, sanitize lines, replace worn seals, and track container integrity and chemical inventory for consistent results; run quarterly audits of data lineage and sensor drift.
- juice turbidity
- nutrient additions
- flotation
Safety
Safety checks for juice handling
Ensure vented tanks, routine gas detection for CO2, safe handling of enzymes, compliant SO2 use with monitoring, lockout-tagout, and sign-off by qualified personnel; train staff on emergency shutoffs and chemical spill response; document HACCP reviews.
- flotation
- SO2 additions
- nutrient additions
Part by part
- 1
settling tanks
- Watch for
- Unsettled sediment layers, erratic turbidity readings, uneven settling times causing off-flavor risk.
- AI action
- Read turbidity, settle rate, and density; trigger extended settling or agitated mixing as needed.
- 2
pectic enzymes
- Watch for
- Inconsistent gel formation, over- or under- hydrolysis affecting clarification.
- AI action
- Monitor enzyme activity via timing and sub-sample analyses; adjust enzyme dosage and contact time.
- 3
flotation
- Watch for
- Foam buildup or flotation inefficiency reducing juice clarity and pigment recovery.
- AI action
- Detect foam and flotation efficiency; adjust gas flow and reagent dosing.
- 4
SO2 additions
- Watch for
- Rising oxidation risk or microbial growth; inappropriate free SO2 levels.
- AI action
- Track free SO2, pH, and microbial indicators; recommend dosing steps and timing.
- 5
juice turbidity
- Watch for
- High turbidity delaying settling and affecting filtration readiness.
- AI action
- Provide turbidity trend; propose settling duration and pre-clarification steps.
- 6
nutrient additions
- Watch for
- YAN and inorganic nitrogen imbalances impacting fermentation readiness.
- AI action
- Monitor YAN, assimilable nitrogen, and nutrient solution levels; adjust nutrient dosing and timing.
Worked example
Catching a settling delay before malolactic
Illustrative scenario with sample data.
A boutique estate must optimize juice settling and enzyme dosing during a late harvest to prevent delayed fermentation.
Signal in
settling_tank_dp=0.65, turbidity=420 NTU, enzyme_activity=78%, YAN=140 mg/L, free_SO2=8 mg/L, Brix=22.4
System out
alert: extended settling needed; adjust enzyme dosage to 95% of target; recommend SO2 adjustment to 12 mg/L; record rationale in must log.
Human sign-off: Winemaker and lab manager review and approve dosing changes and settling plan.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline data collection, sensor calibration, and initial AI rule setup for settling and enzyme dosing.
Phase 2
Weeks 3 to 6
Pilot dosing and settling adjustments with mini-batches; tune thresholds and alert thresholds.
Phase 3
Weeks 7 to 12
Operational deployment across full crush with full data capture and reporting routines.
Where people stay in charge
- Decisions on wine safety parameters (SO2, pH, and YAN) must be signed off by the cellar manager or winemaker.
- No override of labeling or appellation compliance decisions; human review required for any regulatory thresholds.
- The AI can propose actions but final actions must be approved by a qualified person with HACCP and regulatory clearance.
Questions owners and crews ask
What data does AI read for juice settling decisions?
AI reads turbidity, settling rate, pH, Brix, YAN, and SO2 readings from sensors; it uses this to guide settling duration and enzyme dosing.
How does AI decide when to add enzymes or SO2?
AI analyzes settling progress, enzyme activity indicators, and fermentation readiness markers to time enzyme additions and SO2 dosing for stability.
Who approves the AI’s recommendations?
The winemaker and lab manager review and approve dosing plans, with sign-off by the cellar master for operational steps.
What records are produced by the system?
Analytics logs include sensor readings, dosing events, settling durations, batch IDs, and compliance notes for regulatory review.