Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Food Waste Reduction Using IoT and Smart Sensors tackles a huge and solvable problem: the food lost between farm and plate. You learn how connected sensors monitor the conditions that determine spoilage — temperature, humidity, gases and freshness indicators — across storage, transport and retail. The course covers building IoT monitoring for the cold chain, using data to predict shelf life and optimise inventory, and the analytics that turn sensor streams into waste-cutting decisions. Set within sustainability and food-security goals, it connects technology to impact. You finish able to reason about an IoT solution to food waste. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers reducing food waste with IoT and smart sensors — monitoring freshness, cold-chain conditions and inventory to cut spoilage from farm to consumer.
📋 Course Objectives
1. Explain the drivers of food spoilage and loss.
2. Deploy IoT sensors for freshness and cold-chain monitoring.
3. Predict shelf life from sensor data.
4. Optimise inventory and reduce spoilage.
5. Connect monitoring to sustainability outcomes.
👥 Who Should Enroll?
• Food-technology and supply-chain professionals
• IoT and sensor engineers
• Sustainability and operations analysts
• Students of food systems
🚀 Key Learning Outcomes
• An understanding of IoT for food-waste reduction.
• A cold-chain monitoring perspective.
• A sustainability-focused solution mindset.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Foundations of Food Waste Reduction Using IoT and Smart Sensors and Core Biological Principles
Analyze the impact of food waste on the environment and human health using statistical models and case studies • Develop a comprehensive understanding of the biological principles underlying food spoilage and waste generation • Configure IoT sensors and data logging systems to monitor food storage conditions and predict spoilage
Laboratory Techniques, Protocols, and Data Collection
Design and implement laboratory experiments to measure the effects of temperature, humidity, and gas composition on food spoilage • Evaluate the efficacy of various food preservation methods using microbial assays and spectroscopic analysis • Optimize data collection protocols for IoT sensors and develop data quality control procedures
Bioinformatics Tools and Computational Analysis
Apply bioinformatics tools and machine learning algorithms to analyze genomic data from foodborne microorganisms • Develop predictive models of food spoilage using regression analysis and time-series forecasting • Visualize and interpret complex datasets using data visualization tools and statistical software
Research Methodology and Experimental Design
Formulate research hypotheses and design experiments to investigate the effects of IoT-based interventions on food waste reduction • Conduct power analyses and sample size calculations to determine the required sample size for experiments • Develop and implement robust experimental designs using randomized controlled trials and quasi-experiments
Advanced Food Waste Reduction Using IoT and Smart Sensors Applications and Translational Research
Design and develop IoT-based systems for real-time monitoring and control of food storage conditions • Evaluate the cost-effectiveness and scalability of IoT-based food waste reduction interventions using cost-benefit analysis • Translate research findings into practical applications using technology transfer and industry partnerships
Regulatory Compliance, Bioethics, and Safety Standards
Analyze and interpret regulatory requirements and industry standards for food safety and waste management • Develop and implement bioethics guidelines and safety protocols for handling and disposing of food waste • Conduct risk assessments and develop mitigation strategies for potential hazards associated with IoT-based food waste reduction systems
Industry Applications, Career Pathways, and Case Studies
Investigate industry applications and career pathways in food waste reduction and IoT-based sustainability • Analyze case studies of successful IoT-based food waste reduction projects and identify key factors contributing to their success • Develop a professional portfolio and networking strategy to pursue career opportunities in the field
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | IoT sensors |
| Covered Tool / Platform | data logging systems |
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