This project focuses on developing an IoT-based intelligent system for monitoring and analyzing the quality of fruits and vegetables using multiple sensors. The system is designed to provide reliable information about food freshness and environmental conditions in the food industry. The project utilizes Methane sensor, Air Quality sensor, Gas sensor, DHT11 temperature and humidity sensor, IR sensor, LCD display, selection switch, ESP8266 Wi-Fi module, and Arduino microcontroller. The Arduino acts as the main controlling unit and is programmed using Embedded C language to process and analyze sensor data effectively. In this system, the IR sensor is used to detect the presence of fruits or vegetables, while the selection switch is used to choose the type of food item for analysis. The sensors continuously monitor gas concentration, air quality, temperature, and humidity to determine the freshness and quality of the selected fruit or vegetable. Based on the obtained sensor values, the Arduino analyzes the food quality and displays the information on the LCD module. The analyzed data is also transmitted wirelessly to the user’s mobile device through the ESP8266 Wi-Fi module using IoT technology. This system acts as an intelligent food inspection technology that helps users monitor food quality efficiently and accurately.    

OBJECTIVES:  

1. To develop an IoT-based system for monitoring the quality of fruits and vegetables using multiple environmental sensors.
2. To detect harmful gases and air quality parameters using Methane, Gas, and Air Quality sensors for freshness analysis.
3. To measure temperature and humidity conditions using the DHT11 sensor for accurate food quality assessment.
4. To transmit analyzed data wirelessly to the user’s mobile device using the ESP8266 Wi-Fi module and IoT technology.
5. To display real-time quality information on an LCD module and provide an intelligent food inspection system for users.

  The main building blocks of the project are:  

1. Arduino UNO.
2. Gas Methane sensor.
3. Air quality sensor.
4. DHT11.
5. LCD display.
6. IR sensor.
7. Selection switch.
8. ESP8266WI-FI module.
9. Power supply.

  Software’s used:

1. Arduino ide studio compiler to dump the code into Arduino.
2. Express SCH for Circuit design.

    Block diagram of the project:  

video: