Date of Publication

4-12-2023

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

Subject Categories

Electrical and Computer Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Thesis Advisor

Jose Martin Z. Maningo

Defense Panel Chair

Argel A. Bandala

Defense Panel Member

Dominic Dino F. Ligutan
Gerald P. Arada

Abstract/Summary

The agricultural sector is an important factor in society. The crops and livestock that can be harvested every year are the necessary materials needed for survival. The harvesting of crops could be a tedious task especially if not well maintained. Chances of missing a pest can be very high risking the crop itself. This project aims to ease the farmers when it comes to their tasks by introducing autonomy by creating a prototype that can move semi - autonomously and detect pests using computer vision. Using Jetson Nano, Arduino Mega, and Arduino Uno, and camera vision to recognize pests using YOLOv5, the system will be integrated to produce a system that can recognize, classify, and eliminate pests. A graphical user interface was developed to manually control the system and allow it to run autonomously.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Agricultural pests—Control; Agricultural innovation; Robots, Industrial; Computer vision

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Embargo Period

4-11-2023

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