AI-Powered Fish Degradation Alert System for Cold Storage

Perishable seafood products like fish require carefully controlled cold storage environments to maintain freshness and safety during storage and transportation. Deviation from optimal environmental conditions can accelerate spoilage, leading to food safety risks, economic losses, and increased waste.

This AI-powered use case applies real-time multivariate time-series analytics to sensor data collected from cold storage warehouses. By continuously monitoring temperature, humidity, and gas concentrations such as CO₂, H₂S, NH₃, O₂, and VOC, the system detects significant environmental changes associated with spoilage progression and triggers alert. These alerts enable proactive interventions, such as isolating affected baskets or adjusting storage conditions, before the spoilage escalates.

Potential Use Cases:

• Spoilage Prediction & Alerting: Early detection of spoilage onset based on environmental parameter deviations.

• Cold Chain Condition Monitoring: Continuous assessment of warehouse environments to maintain optimal fish storage conditions.

• Anomaly Detection in Sensor Streams: Identification of sudden or gradual abnormal patterns in multivariate sensor data.

Data Artifacts & Potential AI Solutions:

Input Data:

• Multivariate time-series environmental sensor readings: temperature, humidity, CO₂, H₂S, NH₃, O₂, and VOC.

• Timestamped data at 5-minute intervals from cold storage warehouses storing different fish types.

Potential Outputs:

• Alerts for suspected fish spoilage conditions.

• Visual dashboards for sensor trends and detected anomalies.

• Probability-based spoilage risk scores for individual storage baskets or time windows.

Potential Solutions:

• Time-series anomaly detection 

• Predictive analytics for risk forecasting

• Real-time alert generation and visualization dashboards

Potential Benefits:

• Enhanced Food Safety: Enables timely intervention to prevent unsafe seafood distribution.

• Reduced Product Wastage: Early detection minimizes spoilage-related losses.

• Cold Chain Quality Assurance: Continuous monitoring ensures optimal environmental conditions are maintained.

• Data-Driven Operations: Supports evidence-based storage management and decision-making in seafood logistics.