Multispectral Disease Detection

Multispectral Disease Detection is a diagnostic framework that integrates reflectance or emission data from multiple non-overlapping spectral bands to enhance the identification and characterization of pathological conditions, distinguishing itself from conventional single-spectrum approaches by leveraging spectral signature variations across wavelengths for improved disease specificity and sensitivity.

18

Publications

1.2K

Citations

86

Authors

40

Institutions

Publications per year

2017–2026

9

Authors

86

  1. KC
    Kuanglin Chao

    Agricultural Research Service, United States

    2 publications · 72 citations

    2

    h-index

  2. JQ
    Jianwei Qin

    Beltsville Agricultural Research Center, United States

    1 publications · 40 citations

    1

    h-index

  3. CC
    Chen Chen

    Xi'an Jiaotong University, China

    1 publications · 17 citations

    1

    h-index

  4. AK
    Anna Kicherer

    Julius Kühn-Institut, Germany

    1 publications · 45 citations

    1

    h-index

  5. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    1 publications · 45 citations

    1

    h-index

1–5 of 86

Venues

  1. Transactions of the ASABE

    2 publications · 54 citations

    2

    h-index

  2. Advances in Animal Biosciences

    1 publications · 18 citations

    1

    h-index

  3. Diagnostic Pathology

    1 publications · 14 citations

    1

    h-index

  4. Frontiers in Plant Science

    1 publications · 88 citations

    1

    h-index

  5. Precision Agriculture

    1 publications · 286 citations

    1

    h-index

1–5