Sensora
Smart Digital Nose • Early spoilage prediction

Early Spoilage Detection for Fruits

A smart, sensor-driven system that continuously analyzes gases released by fruits and vegetables to identify early signs of spoilage. Using advanced prediction algorithms, it detects spoilage before it becomes visible and forecasts when and how it will occur—helping reduce waste, improve storage efficiency, and ensure better food quality.

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fruits

Our Team

The people building Sensora.
Team member 4
Senith Vidanage (Team Lead)
IoT Specialist, ML & Back end
Team member 3
Sandaru Arandara
Frontend, ML & Prediction
Team member 6
Shalani Madubashini
Documentation & Frontend
Team member 5
Imasha Indumina
UI/UX & Dashboard
Team member 1
Jalani Dissanayake
Documentation & Frontend
Team member 2
Sudama Wijesinghe
Hardware & Sensors

Our Services

Intelligent monitoring solutions designed to reduce food waste and improve quality assurance.

Gas-Based Spoilage Detection

Detects ethylene, VOCs, and CO₂ emitted by fruits to identify spoilage before visual damage appears.

Predictive Analytics

Machine learning models classify fruits as fresh, ripening, or spoiling and predict remaining shelf life.

Real-Time Dashboard

Live cloud-based dashboard with alerts, trends, and batch-level monitoring for warehouses and suppliers.

Demo preview of Sensora’s monitoring & detection workflow.

Contact

Want to collaborate or learn more about Sensora? Reach out to us.

Phone
+94 777 878638
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warehouses • retailers

Reduce Waste. Improve Quality.

Sensora helps stakeholders act earlier with continuous monitoring and actionable alerts. Integrate with dashboards, batch tracking, and analytics for smarter storage decisions.

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