Visual servoing for robotics farming

• Main Author: Goh, Jonathan Zi Chong
• Other Authors: Cheah Chien Chern
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/167757
• Institution: Nanyang Technological University

This report explores the application of robotics in farming, specifically using You Only Look Once (YOLO) as an object detection algorithm. The integration of robotics in agriculture has the potential to increase efficiency and productivity, as well as reduce labor costs and environmental impact. Object detection algorithms, such as YOLOv5, can enhance the capabilities of agricultural robots by allowing them to recognize and respond to different crops, weeds, and pests. The results of this study demonstrate that YOLOv5 is an effective and accurate algorithm for detecting objects in agricultural settings. Furthermore, the use of robotics in farming can lead to a more sustainable and profitable agriculture industry.