Yi Huangfu | Image Processing | Best Researcher Award
Mr. Yi Huangfu,Yunnan Agricultural University, China.
Yi Huangfu, a postgraduate student at Yunnan Agricultural UniversityΒ , specializes in Smart AgricultureΒ
, focusing on Point Cloud and Image Processing, and End-to-End Object Detection and PerceptionΒ
. With a strong foundation in Computer Science from Inner Mongolia University of Science and TechnologyΒ
, he has published impactful research on panoramic image stitching and disease detection in cropsΒ
. Yi has also developed an APP for Huanglongbing disease detectionΒ
Β 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
Β 2022-2025: Master in Mechanical Design and Manufacturing, Yunnan Agricultural University
Β 2017-2021: Undergraduate in Computer Science and Technology, Inner Mongolia University of Science and Technology
Β Research: Published two papers as the first author on agricultural image processing and disease detection.
Β Patent: Developed a Huanglongbing detection app, earning a patent and software copyright.
Suitability for the Award
Professional Development
Yi Huangfu demonstrates proficiency in deep learning, machine learning, and image processing technologiesΒ . His expertise spans Linux system programming, Java, C/C++, PHP, Python, OpenCV, and web scrapingΒ
. His research bridges technology and agriculture, addressing challenges in crop disease detectionΒ
Β using innovative solutions like the HHS-RT-DETR model and VCHS-YOLOΒ
. Yiβs academic and technical pursuits are complemented by his strong ability to interpret English literatureΒ
, enabling him to stay abreast of global advancements. His contributions aim to enhance agricultural precision and productivity through cutting-edge applicationsΒ
.
Research Focus
Yiβs research focuses on advancingΒ Smart AgricultureΒ Β by integrating modern technologies like Point Cloud and Image ProcessingΒ
Β and Deep Learning modelsΒ
. His notable projects include disease detection systems for crops such as citrus and chiliΒ
Β and methods for image stitching in corn ear analysisΒ
. Yi’s work emphasizes creating scalable, end-to-end detection and perception systems for improving crop management efficiencyΒ
. His dedication to applying AI and machine learning in agriculture bridges the gap between technology and sustainable farmingΒ
.
Awards and Honors
Β 2018: NAGC Software Engineer Certificate
Β 2019: Excellent Award in the National NetGuard Security Cup
Β 2020: National Third Prize in the China College Student Programming Competition
Publication Highlights
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2024:Β HHS-RT-DETR: A Method for the Detection of Citrus Greening DiseaseΒ
Β | Published inΒ AgronomyΒ
Β
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2024:Β Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video StreamingΒ
Β | Published inΒ AgronomyΒ
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