🍎 IoT Based Fruit Quality Inspection and Lifespan Detection System

A comprehensive IoT system that integrates sensors and Machine Learning algorithms to predict fruit freshness and expiration dates with high accuracy.

• 📚 Type: Research Paper & IoT Project
• 🏛️ Institution: Independent University, Bangladesh
• 📅 Timeline: January 2023 - August 2023
• 📖 Published In: IEEE Xplore
• 🔗 Paper Link: IEEE Xplore

🔧 Hardware Components

📝 Abstract

Fruits are an essential source of nutrients, but their quality depends heavily on their freshness and shelf life, which can be impacted by various external factors. This paper presents a comprehensive study on the decay of fruits and the development of a lifespan detection system.

The system integrates a Raspberry Pi Pico, a DHT-11 sensor for capturing real-time temperature and humidity of fruits, and an MQ-4 methane gas detector sensor to estimate methane gas emissions from spoiled fruits. Then data storage and Machine Learning (ML) algorithms are used to accurately predict the expiration date of fruits.

⚙️ System Architecture

• 📊 Real-time sensor data collection - Temperature, humidity, and methane levels
• 📡 Data transmission to local database using NodeMCU ESP8266
• 🧮 ML-based prediction using collected sensor data
• 📈 Graphical representation of real-time data with lifespan estimation
• 🎯 High accuracy expiration date prediction using suggested equation

✨ Key Features

• 🌡️ Real-time monitoring of temperature and humidity
• 💨 Methane gas detection for spoilage identification
• 🤖 Machine Learning prediction for expiration dates
• 📊 Visual data representation with graphical interface
• 💰 Cost-effective and user-friendly design
• 🏭 Industrial applications for warehouses and cold storage

🎯 Applications

• 🏢 Warehouses - Monitor large fruit inventories
• ❄️ Cold Storage - Optimize storage conditions
• 🔍 Food Quality Inspection - Ensure freshness standards
• 🛒 Retail - Manage perishable inventory
• 🌱 Future Extension - Detect lifespan of other perishable items

🔬 Research Impact

By accumulating necessary information about the temperature, humidity, and methane emission of fruit, this paper illustrates a graphical representation of real-time data with an approximate lifespan of the fruit. The system is cost-effective, user-friendly, and useful in warehouses, cold storage, and food quality inspection sectors.

With further research and development, the proposed system can be extended to detect the lifespan and expiration of other perishable items, thus providing a comprehensive solution for food preservation and safety.