Abstract:
The agricultural sector is using smart agricultural robots, particularly harvesting robots, to increase production, reduce labor costs, and maximize resource use. These robots automate fruit selection, alleviating manpower shortages and lowering manual harvesting costs. A stable power supply system, an ESP32 microcontroller for control, servo motors for precise movement, ultrasonic sensors for obstacle detection, and an ESP32-CAM for picture capture are all essential components. Software technologies such as Fusion 360 help to design the robot's construction, while MATLAB Simulink and Simscape enhance the robot arm's dynamics. Using the YOLO v3 model, the robot detects fruit accurately in real time. These technologies not only improve efficiency and lower costs, but they also encourage sustainable agricultural practices. Future developments aim to enhance autonomy, integrate advanced sensors for better environmental monitoring, and adapt robots to various agricultural settings, ensuring continued innovation in food production technologies.
Description:
Supervised by
Dr. Golam Sarowar,
Professor,
Department of Electrical and Electronic Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur, Bangladesh
This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024
