Image-based Weed Identification

Image-Based Weed Identification is a computational method within the domain of turfgrass science that uses digital image analysis to detect and classify weed species in turfgrass environments through visual pattern recognition and machine learning algorithms.

312

Publications

18K

Citations

1K

Authors

339

Institutions

Publications per year

2017–2026

222

Authors

1K

  1. JY
    Jialin Yu

    University of Georgia, United States

    8 publications · 517 citations

    8

    h-index

  2. MB
    Muthukumar Bagavathiannan

    Texas A&M University, United States

    7 publications · 279 citations

    8

    h-index

  3. AW
    Arnold W. Schumann

    University of Florida, United States

    7 publications · 463 citations

    7

    h-index

  4. ÁR
    Ángela Ribeiro

    Centre for Automation and Robotics, Spain

    7 publications · 796 citations

    7

    h-index

  5. GP
    Gonzalo Pájares

    Universidad Complutense de Madrid, Spain

    7 publications · 828 citations

    7

    h-index

1–5 of 1K

Venues

  1. Computers and Electronics in Agriculture

    44 publications · 4.8K citations

    37

    h-index

  2. Frontiers in Plant Science

    13 publications · 499 citations

    13

    h-index

  3. Agronomy

    11 publications · 341 citations

    12

    h-index

  4. Sensors

    11 publications · 583 citations

    11

    h-index

  5. Remote Sensing

    10 publications · 572 citations

    10

    h-index

1–5