Tyler’s custom built Unmanned Aerial Vehicle (UAV)
Author: Tyler Young | Major: Computer Science | Semester: Spring 2024
My research focuses on developing a UAV-based system for in-situ water quality monitoring, specifically measuring oxygen reduction potential (ORP) using an Atlas Scientific sensor. This innovative approach has the potential to revolutionize environmental management by providing real-time, actionable data on water quality, enabling rapid response and targeted conservation strategies.
I chose this topic after learning about the limitations of traditional water quality monitoring methods, which are often time-consuming, costly, and fail to provide timely data. Inspired by the potential of UAV technology and its applications in environmental monitoring, I sought out Dr. Cengiz Koparan as my mentor. Despite my background in Computer Science, Dr. Koparan’s expertise in biological engineering and water quality assessment has been invaluable throughout my research journey, helping me bridge the gap between my technical skills and environmental applications.
During my research, I learned the importance of iterative design and testing in developing a reliable and efficient monitoring system. I faced challenges in optimizing the UAV’s stability and buoyancy, which required multiple design iterations to strike the right balance between flight performance and water landing capabilities. Overcoming these challenges taught me the value of perseverance and critical thinking in problem-solving, as well as the importance of applying my programming and systems management skills to real-world issues.
Dr. Koparan’s guidance was instrumental in navigating the complexities of the research process. His insights and feedback helped me refine my methodology and interpret the results effectively. I also had the support of fellow students in the lab, who provided valuable input and assistance during the testing and calibration phases, fostering a collaborative and interdisciplinary environment.
This summer, I will be attending the ASABE (American Society of Agricultural and Biological Engineers) conference, where I will participate in the Beginner Division of the Robotics Student Design Competition. This competition will challenge me to apply my knowledge and skills in robotics, programming, and environmental monitoring to design and build a functional robot that addresses real-world agricultural or biological engineering problems. I am excited to engage with other like-minded students from across the country, learn from their unique perspectives and experiences, and collaborate on innovative solutions. Participating in this competition will not only help me refine my technical abilities but also provide valuable insights into the practical applications of robotics and automation in agriculture and environmental management. I look forward to the opportunity to network with industry professionals and explore potential career paths that align with my passion for leveraging technology to tackle environmental challenges.
Following the conference, I plan on pursuing my Master’s degree in Biological Engineering at the University of Arkansas, where I will continue to build on this research, thanks to the continued support and guidance of my mentor, Dr. Koparan. This transition from Computer Science to Biological Engineering reflects my growing passion for applying my technical skills to environmental challenges. I am eager to expand my knowledge and explore innovative solutions that combine the power of computing, robotics, and environmental science.
As I move forward in my academic and professional journey, I am committed to leveraging the skills and knowledge I have gained through this research to make a positive impact on the environment. I believe that UAV-based monitoring systems have the potential to transform the way we understand and manage our water resources, ultimately contributing to the preservation and protection of these invaluable ecosystems. With the support of my mentor and the opportunities provided by my upcoming Master’s program at the University of Arkansas, I am confident that I will be able to further advance this research and contribute to the development of cutting-edge solutions in environmental monitoring.