Concepedia

Image-based Weed Detection

Image-Based Weed Detection is a computational methodology within agricultural image analysis that identifies and classifies weed species, including poisonous varieties, in digital imagery through pattern recognition and machine learning techniques, distinguishing itself from other detection approaches by relying exclusively on visual data inputs.

511

Publications

31.8K

Citations

1.7K

Authors

560

Institutions

Publications per year

2017–2026

380

Parents

Publications

511

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

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Victor Partel, Sri Charan Kakarla, Yiannis Ampatzidis · Computers and Electronics in Agriculture · 2019 · 416 citations · Full text

, , +17

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

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu, Sierra Young · Computers and Electronics in Agriculture · 2020 · 367 citations · Full text

, , +13

1–5 of 511

Authors

1.7K

  1. AW
    Arnold W. Schumann

    University of Florida, United States

    12 publications · 770 citations

    12

    h-index

  2. JY
    Jialin Yu

    University of Georgia, United States

    12 publications · 845 citations

    12

    h-index

  3. MB
    Muthukumar Bagavathiannan

    Texas A&M University, United States

    10 publications · 493 citations

    10

    h-index

  4. FL
    Francisca López Granados

    Instituto de Agricultura Sostenible, Spain

    9 publications · 670 citations

    9

    h-index

  5. ÁR
    Ángela Ribeiro

    Centre for Automation and Robotics, Spain

    9 publications · 841 citations

    9

    h-index

1–5 of 1.7K

Institutions

560

  1. Nanjing Forestry University

    Nanjing, China

    13 h-index

    37 publications

    2.3K citations

  2. China Agricultural University

    Beijing, China

    13 h-index

    56 publications

    2.6K citations

  3. University of Florida

    Gainesville, United States

    11 h-index

    26 publications

    3.5K citations

  4. Texas A&M University

    College Station, United States

    11 h-index

    25 publications

    1.2K citations

  5. Jilin Agricultural University

    Changchun, China

    10 h-index

    64 publications

    2.2K citations

  6. Jiangsu University

    Zhenjiang, China

    10 h-index

    31 publications

    1.9K citations

  7. Ministry of Agriculture and Rural Affairs

    Beijing, China

    9 h-index

    26 publications

    2.2K citations

  8. Florida Department of Citrus

    Bartow, United States

    9 h-index

    9 publications

    709 citations

1–8 of 560

Venues

  1. Computers and Electronics in Agriculture

    64 publications · 7.4K citations

    45

    h-index

  2. Remote Sensing

    26 publications · 2.5K citations

    22

    h-index

  3. Frontiers in Plant Science

    21 publications · 898 citations

    19

    h-index

  4. Agronomy

    18 publications · 659 citations

    14

    h-index

  5. Sensors

    14 publications · 804 citations

    13

    h-index

1–5