Multispectral Pest Detection

Multispectral Pest Detection is a remote sensing method that identifies and monitors pest infestations in agricultural systems by analyzing reflectance data across multiple discrete wavelength bands, distinguishing itself from other spectral approaches through its use of non-contiguous, targeted bands to detect specific physiological and structural changes in plants caused by pest activity.

27

Publications

1.1K

Citations

108

Authors

44

Institutions

Publications per year

2017–2026

16

Authors

108

  1. JC
    Javaan Chahl

    University of South Australia, Australia

    3 publications · 104 citations

    3

    h-index

  2. HL
    Huajian Liu

    Chinese Academy of Sciences, China

    3 publications · 104 citations

    3

    h-index

  3. SL
    Sang‐Heon Lee

    University of South Australia, Australia

    2 publications · 51 citations

    2

    h-index

  4. JW
    John Weiss

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

  5. FV
    Fernando Vanegas

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

1–5 of 108

Venues

  1. Precision Agriculture

    3 publications · 56 citations

    3

    h-index

  2. Sensors

    2 publications · 256 citations

    2

    h-index

  3. Computers and Electronics in Agriculture

    2 publications · 112 citations

    2

    h-index

  4. Journal of Economic Entomology

    2 publications · 81 citations

    2

    h-index

  5. Forest Ecology and Management

    2 publications · 53 citations

    2

    h-index

1–5