Food Waste Reduction Using IoT and Smart Sensors

• Overview of global food waste challenges and statistics

• Deep science behind food spoilage processes

• Introduction to IoT and deep tech in food logistics

• Sensor fundamentals: temperature, humidity, gas, and motion detection

• Workflow from real-time sensing to actionable insights

• IoT hardware components and microcontroller integration

• Communication protocols: MQTT, LoRa, NB-IoT

• Power management and sustainability in sensor networks

• Data collection frameworks and cloud interfacing

• Designing smart bins and storage monitoring systems

• Real-time data logging, preprocessing, and transmission

• Smart analytics: pattern recognition for spoilage prediction

• Dashboard creation and visualization tools (e.g., ThingsBoard, Node-RED)

• Data-driven alerts and decision-making automation

• Case studies on food shelf-life extension via IoT

• • Advanced sensor fusion for high-accuracy detection

  • Machine learning models for waste classification

  • AI-enabled supply chain optimization

  • Pilot deployment strategies and field trials

  • Ethical, policy, and translational considerations in smart food tech

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