Mr. Huangfu Yi, Yunnan Agricultural University, China
Huangfu Yi is a dedicated and innovative Master’s degree candidate in Mechanical Design and Manufacturing at Yunnan Agricultural University, with a focus on smart agriculture, point cloud and image processing, and end-to-end object detection and perception. Born in Hohhot, Inner Mongolia, he earned his Bachelor’s degree in Computer Science and Technology from Inner Mongolia University of Science and Technology. Huangfu has contributed to the field through impactful research, including a method for panoramic image stitching of corn ears and the development of a citrus greening disease detection system. His work has led to accepted publications in SCI Zone 2 journals and has resulted in an authorized invention patent. With strong technical skills in deep learning, machine learning, and programming languages such as Java, C/C++, and Python, he is proficient in developing applications for agricultural solutions. Huangfu is also actively engaged in competitions, earning recognition for his programming skills. He is fluent in reading English literature, and his proactive involvement in work-study and volunteer activities has honed his communication skills and work ethic.
Professional Profile:
ORCID
Summary of Suitability for the Best Researcher Award: Huangfu Yi
Personal Profile: Huangfu Yi is a Master’s degree candidate at Yunnan Agricultural University, specializing in mechanical design and manufacturing. At just 26 years old, he has made significant strides in the fields of smart agriculture, point cloud and image processing, and end-to-end object detection and perception. His educational background, which includes a Bachelor’s degree in Computer Science and Technology, equips him with a strong foundation in technology that enhances his research capabilities.
🎓 Education Background:
- Master’s Degree in Mechanical Design and Manufacturing
Yunnan Agricultural University (2022.09 – 2025.09)
- Bachelor’s Degree in Computer Science and Technology
Inner Mongolia University of Science and Technology (2017.09 – 2021.07)
🔧 Projects and Contributions:
- Panoramic Stitching System for Corn
- Citrus Huanglongbing Detection System
- Information Transmission Between Internet Sensors
📜 Patents:
- Title: Method and Device for Detecting Huanglongbing Based on Deep Learning
🛠️ Research Skills:
- Deep Learning, Machine Learning, Linux System Programming, Java, C/C++, PHP, Python, Web Crawling, OpenCV.
🏆 Competition Experience:
- 2018: NAGC Software Engineer Certificate
- 2019: National NetEase Security Cup, Excellent Prize
- 2020: China University Student Programming Contest, Third Prize Nationally
Publication Top Notes
HHS-RT-DETR: A Method for the Detection of Citrus Greening Disease
Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming