Ai-biosentry: A Decentralized Iot-based Multi-modal System For Real-time Ripeness Monitoring

• Author(s):

  Abinaya S | Tholkappiyan M | Harishma R | Thirisha R | Ms. S. Vinoba Jenifer

• Keywords:

  Non-Destructive Testing (NDT), Sensor Fusion, ESP32-CAM, Acoustic Resonance, Ethylene Detection (MQ-135), IoT-GIS Mapping, Edge Computing, Shelf-life Prediction.

• Abstract:

  Agricultural Sustainability Is Challenged By Nearly 40% Post-harvest Losses Due To Inefficient Manual And Destructive Ripeness Testing. Bio-Sentry Is An Advanced, Non-destructive Automated System Designed To Bridge This Gap Through A Multi-dimensional Sensing Approach. The Core System Is Built On The ESP32 Microcontroller, Which Orchestrates A Sophisticated Multi-Sensor Fusion Strategy. It Utilizes Acoustic Resonance Analysis Via A MAX9814 Sensor To Measure Internal Density Through Mechanical Tapping By A Servo Motor. An MQ-135 Gas Sensor Is Integrated To Monitor Ethylene Gas Concentrations, A Primary Biological Indicator Of The Fruit's Ripening Stage. To Ensure A Comprehensive Evaluation, The ESP32-CAM Module Performs Visual Inspection, Capturing Surface Colour And Texture Data. A Unified Classification Algorithm Processes These Heterogeneous Inputs To Grade Produce Into Unripe, Ripe, Or Spoiled Categories. The Results Are Transmitted To A Customized IoT Dashboard (Blynk), Allowing Stakeholders To Access Real-time Analytics Remotely. By Incorporating GIS (Geographic Information System) Principles, The System Enables Geospatial Tracking For Optimized Supply Chain Logistics. Bio-Sentry Provides A Scalable, Low-cost Solution That Reduces Waste And Promotes Data-driven Practices In Modern Smart Agriculture.

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Other Details

• Paper id:

  IJSARTV12I5105257

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-04

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