Smart Solutions for Sustainable Food Systems
Food waste is a global challenge that demands innovative and technology-driven solutions. This program focuses on the application of IoT and smart sensors to monitor, analyze, and optimize food production, storage, and transportation processes. Participants will learn how to implement real-time tracking systems, predictive analytics, and automated solutions to minimize food loss and waste.
The program combines theoretical insights with hands-on experience, enabling participants to design and deploy IoT-based solutions tailored to food waste management. It covers the integration of smart sensors with IoT platforms, data collection, and interpretation for informed decision-making, ultimately promoting a sustainable and efficient food supply chain.
To leverage IoT and smart sensor technologies in reducing food waste across supply chains, enhancing sustainability, and improving operational efficiency in agriculture, storage, and distribution.
Week 1: Foundations of Food Waste & Smart Systems
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
Week 2: IoT Network Architecture & Smart Deployment
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
Week 3: Data Processing, Analytics & Visualization
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
Week 4: Deep Tech Innovation & Field Applications
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
Standard: ₹8,998 | $198
Discounted: ₹4499 | $99
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
with Abhimanyu
