Concepedia

Image-based Weed Recognition

Image-Based Weed Recognition is a computational method within the domain of precision agriculture that uses digital image analysis to identify weed species in vegetation by extracting and classifying visual features distinct from those of crops and other plant types.

347

Publications

22.4K

Citations

1.2K

Authors

410

Institutions

Publications per year

2017–2026

248

Parents

Publications

347

Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions

D. M. Woebbecke, George E. Meyer, K. Von Bargen et al. · Transactions of the ASAE · 1995 · 1.5K citations

, , +15

Weed detection in soybean crops using ConvNets

Alessandro dos Santos Ferreira, Daniel Matte Freitas, Gercina Gonçalves da Silva et al. · Computers and Electronics in Agriculture · 2017 · 560 citations

, , +11

Colour and shape analysis techniques for weed detection in cereal fields

Alberto Pérez, J. V. Benlloch, Svend Christensen · Computers and Electronics in Agriculture · 2000 · 390 citations

, , +16

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Inkyu Sa, Zetao Chen, Marija Popović et al. · IEEE Robotics and Automation Letters · 2017 · 361 citations

, , +17

Evaluation of support vector machine and artificial neural networks in weed detection using shape features

Adel Bakhshipour, Abdolabbas Jafari · Computers and Electronics in Agriculture · 2018 · 327 citations

, , +15

1–5 of 347

Authors

1.2K

  1. JY
    Jialin Yu

    University of Georgia, United States

    10 publications · 674 citations

    10

    h-index

  2. AW
    Arnold W. Schumann

    University of Florida, United States

    8 publications · 501 citations

    8

    h-index

  3. GP
    Gonzalo Pájares

    Universidad Complutense de Madrid, Spain

    8 publications · 1.1K citations

    8

    h-index

  4. ÁR
    Ángela Ribeiro

    Centre for Automation and Robotics, Spain

    7 publications · 957 citations

    7

    h-index

  5. MB
    Muthukumar Bagavathiannan

    Texas A&M University, United States

    7 publications · 331 citations

    7

    h-index

1–5 of 1.2K

Institutions

410

  1. Nanjing Forestry University

    Nanjing, China

    10 h-index

    29 publications

    1.9K citations

  2. Centre for Automation and Robotics

    Arganda, Spain

    9 h-index

    20 publications

    2.1K citations

  3. Jilin Agricultural University

    Changchun, China

    9 h-index

    60 publications

    2K citations

  4. Universidad Complutense de Madrid

    Madrid, Spain

    8 h-index

    24 publications

    3.3K citations

  5. University of Florida

    Gainesville, United States

    8 h-index

    17 publications

    1.6K citations

  6. Jiangsu University

    Zhenjiang, China

    8 h-index

    24 publications

    1.2K citations

  7. Chinese Academy of Sciences

    Beijing, China

    7 h-index

    18 publications

    945 citations

  8. Texas A&M University

    College Station, United States

    7 h-index

    13 publications

    615 citations

1–8 of 410

Venues

  1. Computers and Electronics in Agriculture

    61 publications · 6.3K citations

    42

    h-index

  2. Biosystems Engineering

    15 publications · 1K citations

    15

    h-index

  3. Frontiers in Plant Science

    11 publications · 348 citations

    11

    h-index

  4. Agronomy

    12 publications · 479 citations

    10

    h-index

  5. Sensors

    10 publications · 492 citations

    10

    h-index

1–5