Yi Huangfu | Image Processing | Best Researcher Award

Mr. Yi Huangfu,Yunnan Agricultural University, China.

Yi Huangfu, a postgraduate student at Yunnan Agricultural University , specializes in Smart Agriculture , focusing on Point Cloud and Image Processing, and End-to-End Object Detection and Perception . With a strong foundation in Computer Science from Inner Mongolia University of Science and Technology , he has published impactful research on panoramic image stitching and disease detection in crops . Yi has also developed an APP for Huanglongbing disease detection and holds an invention patent. Skilled in programming languages, machine learning, and Linux systems, he is passionate about advancing agricultural technology through innovation.

Publication Profile

Orcid

Education and Experience

2022-2025: Master in Mechanical Design and Manufacturing, Yunnan Agricultural University
2017-2021: Undergraduate in Computer Science and Technology, Inner Mongolia University of Science and Technology
Research: Published two papers as the first author on agricultural image processing and disease detection.
Patent: Developed a Huanglongbing detection app, earning a patent and software copyright.

Suitability for the Award

Mr. Yi Huangfu stands as an exemplary candidate for the Best Researcher Award, combining academic excellence with impactful contributions to Smart Agriculture. As a first author of groundbreaking research on crop disease detection and panoramic image processing, Yi has advanced precision farming practices. His patented innovations, including an app for Huanglongbing detection, highlight his practical expertise. Proficient in deep learning and programming, with accolades in national competitions, Yi embodies innovation and dedication in agricultural research.

Professional Development

Yi Huangfu demonstrates proficiency in deep learning, machine learning, and image processing technologies . His expertise spans Linux system programming, Java, C/C++, PHP, Python, OpenCV, and web scraping . His research bridges technology and agriculture, addressing challenges in crop disease detection using innovative solutions like the HHS-RT-DETR model and VCHS-YOLO . Yi’s academic and technical pursuits are complemented by his strong ability to interpret English literature , enabling him to stay abreast of global advancements. His contributions aim to enhance agricultural precision and productivity through cutting-edge applications .

Research Focus

Yi’s research focuses on advancing Smart Agriculture by integrating modern technologies like Point Cloud and Image Processing and Deep Learning models . His notable projects include disease detection systems for crops such as citrus and chili and methods for image stitching in corn ear analysis . Yi’s work emphasizes creating scalable, end-to-end detection and perception systems for improving crop management efficiency . His dedication to applying AI and machine learning in agriculture bridges the gap between technology and sustainable farming .

Awards and Honors

2018: NAGC Software Engineer Certificate
2019: Excellent Award in the National NetGuard Security Cup
2020: National Third Prize in the China College Student Programming Competition

Publication Highlights

2024: HHS-RT-DETR: A Method for the Detection of Citrus Greening Disease | Published in Agronomy
2024: Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming | Published in Agronomy