Yi Huangfu | Image Processing | Best Researcher Award

Yi Huangfu | Image Processing | Best Researcher Award

Mr. Yi Huangfu,Yunnan Agricultural University, China.

Yi Huangfu, a postgraduate student at Yunnan Agricultural UniversityΒ πŸŽ“, specializes in Smart Agriculture 🌾, focusing on Point Cloud and Image Processing, and End-to-End Object Detection and PerceptionΒ πŸ“ΈπŸ€–. With a strong foundation in Computer Science from Inner Mongolia University of Science and TechnologyΒ πŸ’», he has published impactful research on panoramic image stitching and disease detection in crops 🌽🍊. Yi has also developed an APP for Huanglongbing disease detectionΒ πŸ“±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

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Education and Experience

  • πŸŽ“Β 2022-2025: Master in Mechanical Design and Manufacturing, Yunnan Agricultural University
  • πŸŽ“Β 2017-2021: Undergraduate in Computer Science and Technology, Inner Mongolia University of Science and Technology
  • πŸ’»Β Research: Published two papers as the first author on agricultural image processing and disease detection.
  • πŸ› οΈΒ 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 technologiesΒ πŸ€–. His expertise spans Linux system programming, Java, C/C++, PHP, Python, OpenCV, and web scrapingΒ πŸ’». 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 literatureΒ πŸ“š, enabling him to stay abreast of global advancements. His contributions aim to enhance agricultural precision and productivity through cutting-edge applicationsΒ πŸ“ˆ.

Research Focus

Yi’s research focuses on advancingΒ Smart Agriculture 🌾 by integrating modern technologies like Point Cloud and Image ProcessingΒ πŸ“ΈΒ and Deep Learning modelsΒ πŸ€–. 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

  • πŸ†Β 2018: NAGC Software Engineer Certificate
  • πŸ…Β 2019: Excellent Award in the National NetGuard Security Cup
  • πŸ₯‰Β 2020: National Third Prize in the China College Student Programming Competition

Publication Highlights

  • 2024:Β HHS-RT-DETR: A Method for the Detection of Citrus Greening Disease 🍊 | Published inΒ AgronomyΒ πŸ“–Β 
  • 2024:Β Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming 🌽 | Published inΒ AgronomyΒ πŸ“–Β 

Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V. Veera Raghavulu, born on June 15, 1975, is an esteemed academic with over 21 years of experience in Computer Science and Engineering. His career began in the industry as a Programmer at Javapoint and a Graduate Engineer at APSPDCL before transitioning to academia. He has served as a Lecturer at Alhuda Polutechic and Priyadarshni Engineering College and has been an Assistant Professor at N.B.K.R.I.S.T since 2005. Dr. Raghavulu’s teaching contributions include courses such as FLAT, IT Workshop, and DS Lab. In addition to his teaching roles, he has been involved in student welfare as a Resident Warden and has contributed to academic events as a Paper Presentation Judge for TECHYVHA 2024. He is also a permanent member of the Institution of Engineers (India), underscoring his commitment to the professional community.

Professional Profile:

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🌟 Academic Background

Dr. V. Veera Raghavulu, born on June 15, 1975, holds an extensive academic and professional background in Computer Science and Engineering. He has dedicated over 21 years to the field, with significant roles spanning from Programmer to Associate Professor.

πŸ“š Professional Experience

Dr. V Veera Raghavulu is an accomplished academic with extensive experience in both industry and education. He began his career as a Programmer at Javapoint (2000-2001) and then served as a Graduate Engineer at APSPDCL (2001-2002). Transitioning to academia, he worked as a Lecturer at Alhuda Polutechic (2003-2005) and Priyadarshni Engineering College (2006-2008). Since 2009, he has been a dedicated Assistant Professor at N.B.K.R.I.S.T, following an earlier role as a Lecturer there (2005-2006). Dr. Raghavulu’s career spans over two decades, reflecting his commitment to education and technical expertise.

🏫 Teaching Contributions

In the academic year 2023-24, Dr. Raghavulu taught various subjects including FLAT, IT Workshop, and DS Lab. His courses have been well-received, with positive feedback from students, and he continues to guide future engineers.

πŸ“ˆ Additional Roles and Responsibilities

Dr. Raghavulu has taken on key roles such as Resident Warden and Co-PO Calculation Incharge, showcasing his commitment to both student welfare and academic administration.

πŸ“… Events and Engagements

He served as a Paper Presentation Judge for TECHYVHA 2024, contributing to the academic community by evaluating emerging research and innovations.

🌐 Professional Affiliations

Dr. Raghavulu is a member of the Institution of Engineers (India) with a permanent membership, reflecting his engagement with professional bodies in his field.

Publication Top Notes:

An Intelligent Moving Object Segmentation Using Hybrid IFCM-CSS Clustering Model
  • Journal: International Journal of Pattern Recognition and Artificial Intelligence
  • Publication Year: 2024