Drone-based Field Sensing

Drone-Based Field Sensing is a remote sensing methodology that employs unmanned aerial vehicles equipped with multispectral, hyperspectral, or thermal sensors to capture high-resolution spatial and temporal data for precision input management in agricultural and environmental monitoring.

24

Publications

2.2K

Citations

94

Authors

51

Institutions

Publications per year

2017–2026

18

Authors

94

  1. VI
    Volkan Isler

    University of Minnesota, United States

    2 publications · 613 citations

    2

    h-index

  2. DJ
    D. J. Mulla

    University of Minnesota, United States

    2 publications · 613 citations

    2

    h-index

  3. JV
    Joshua Vander Hook

    University of Minnesota, United States

    2 publications · 613 citations

    2

    h-index

  4. YH
    Yong-Gu Han

    Kyungpook National University, South Korea

    1 publications · 23 citations

    1

    h-index

  5. MJ
    Melinda J Ellison

    University of Idaho, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 94

Venues

  1. Parasites & Vectors

    1 publications · 136 citations

    1

    h-index

  2. Rangeland Ecology & Management

    REM · 1 publications · 18 citations

    1

    h-index

  3. 1

    h-index

  4. EDIS

    1 publications · 16 citations

    1

    h-index

  5. MethodsX

    1 publications · 23 citations

    1

    h-index

1–5