Smart Agri Bot for Multi-Crop Harvesting

Authors

  • Dr.D.R.P. Rajarathnam UG - Professor, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • R. Krishva UG Student, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • R. Dhivakaran UG Student, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • S. Parthiban UG Student, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0086

Keywords:

Effective navigation, Obstacle detection, High- frequency sound waves, Ultrasonic sensor, Labor-intensive tasks, Color detection technology, Agricultural purposes, Color-sensing robot, Modern agriculture, Robots, Automation

Abstract

The integration of automation and robots into modern agriculture is crucial for improving output and efficiency. A recent development in this field is the creation of a color-sensing robot specifically designed for agricultural purposes. This robot utilizes advanced color detection technology to accurately identify objects and exert control over them based on their color characteristics. The primary goal of this research is to find solutions for labor-intensive agricultural tasks, particularly fruit and vegetable harvesting. By combining robotics and computer vision technology, this robot aims to streamline these processes. Automation plays a significant role in reducing human effort in routine and frequently performed tasks. In the case of agriculture, color-sensing robots have been employed to pluck fruits and vegetables. The robot's mobile application is controlled through a Bluetooth Module, sending instructions to the microcontroller, and then to the motor. The robot's architecture is also programmed with Arduino, an open-source programming language that is a simplified version of other languages. These robots have the potential to reduce damage, increase productivity, and prove cost- effective, while also freeing up labor resources. In addition to object recognition, the robot's navigational capabilities have been enhanced with the integration of an ultrasonic sensor. This sensor emits high-frequency sound waves and analyzes the echoes to accurately estimate distances to nearby objects. This information is crucial for the robot to identify obstacles in its path, ensuring safe and effective navigation

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Published

2024-03-21

How to Cite

Smart Agri Bot for Multi-Crop Harvesting. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(03), 596-602. https://doi.org/10.47392/IRJAEH.2024.0086

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