The Development of Tomato Sorter and Quality Evaluation System Based on Colour is an automated agricultural sorting system designed to improve the efficiency and accuracy of tomato classification using colour detection technology. The system is developed using an Arduino Uno microcontroller as the central controlling unit, along with a TCS34725 colour sensor, IR sensor, servo motors, LCD display, and push buttons. The main objective of the project is to automatically identify and sort tomatoes based on their colour, such as red, green, and yellow, which indicate different ripeness levels and quality conditions. Initially, tomatoes are placed on a platform connected to a servo motor mechanism. When a tomato is detected by the IR sensor, the Arduino controller activates the servo motor to move the tomato towards the TCS34725 colour sensor. The colour sensor then detects the colour of the tomato and sends the data to the Arduino controller for processing. Based on the detected colour, the Arduino controls the bottom servo motor to rotate the pick-and-place arm towards the corresponding collection bin. The tomato is then dropped into the appropriate basket according to its detected colour category. Three push buttons are provided to train or calibrate the system for different colour ranges and sorting conditions. An LCD display is used to show the detected tomato colour and system status in real time, while an LED indicator provides visual operation feedback. This project demonstrates an effective application of embedded systems, sensor technology, and automation in agriculture and food processing industries. The system reduces manual labour, increases sorting speed and accuracy, and helps improve quality evaluation in tomato processing and packaging applications.    

Objectives:

1. To detect tomato colour using the TCS34725 colour sensor.
2. To sort tomatoes automatically into different bins using servo motors.
3. To display the detected tomato colour on the LCD screen.
4. To use push buttons for system training and calibration.
5. To reduce manual effort and improve sorting accuracy.

    The main building blocks of the project are:  

1. Regulated Power Supply.
2. Arduino.
3. Three Servo motors.
4. TCS34725 Color sensor.
5. IR sensor.
6. Three push buttons.
7. LCD display.
8. Pick and place ARM.

    Software’s used:  

1. Arduino IDE for compiling and dumping code into controller
2. Express SCH for Circuit design.

  Regulated Power Supply:

           

video: