Uav-based Phenotyping

UAV-Based Phenotyping is a crop phenotyping method that utilizes unmanned aerial vehicles equipped with multispectral, thermal, or hyperspectral imaging sensors to capture high-resolution, spatially explicit plant trait data over large field areas with enhanced scalability and temporal frequency compared to ground-based systems.

284

Publications

16.6K

Citations

1.4K

Authors

408

Institutions

Publications per year

2017–2026

270

Authors

1.4K

  1. GY
    Guijun Yang

    National Engineering Research Center for Information Technology in Agriculture, China

    12 publications · 732 citations

    12

    h-index

  2. MM
    Melba M. Crawford

    Purdue University West Lafayette, United States

    9 publications · 238 citations

    9

    h-index

  3. JJ
    Jinha Jung

    Texas A&M University – Corpus Christi, United States

    8 publications · 351 citations

    8

    h-index

  4. AC
    Anjin Chang

    Texas A&M University – Corpus Christi, United States

    8 publications · 351 citations

    8

    h-index

  5. SC
    Scott Chapman

    Commonwealth Scientific and Industrial Research Organisation, Australia

    8 publications · 725 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. Remote Sensing

    60 publications · 4.9K citations

    43

    h-index

  2. Frontiers in Plant Science

    35 publications · 2.9K citations

    28

    h-index

  3. Computers and Electronics in Agriculture

    28 publications · 1.6K citations

    22

    h-index

  4. Precision Agriculture

    14 publications · 602 citations

    14

    h-index

  5. Plant Phenomics

    11 publications · 439 citations

    11

    h-index

1–5