A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning
Objective
The main objectives of this project are to develop a portable real-time electronic nose system for evaluating seafood freshness using machine learning algorithms. It analyzes gas emissions from seafood samples through sensor arrays to detect spoilage levels. This solution ensures food safety, reduces waste, and enables rapid freshness assessment in markets and supply chains.
Abstract
This project presents a portable real-time electronic nose system for seafood freshness evaluation using Arduino UNO, MQ2 sensor, MQ6 sensor, DHT11 sensor, pH sensor, LCD display, buzzer, and the Random Forest machine learning algorithm. The sensors continuously monitor gas concentration, temperature, humidity, and pH levels associated with seafood quality. The collected data is analyzed by the Random Forest model to classify the freshness status accurately. The results are displayed on the LCD screen, while sensor data and classification results are uploaded to the ThingSpeak cloud platform for remote monitoring. When spoilage conditions are detected, the buzzer alert is activated. The proposed system provides a low-cost, portable, and efficient solution for real-time seafood quality monitoring and food safety management.
Keywords: Arduino UNO, Electronic Nose, Seafood Freshness Evaluation, Random Forest, Thing Speak.NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino UNO / setup software
- Setting up and installation procedure for Arduino UNO
- Introduction to Arduino UNO environment / development setup Basic programming in Arduino UNO (Embedded C)
- Basics of Embedded programming using Arduino UNO
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
