Rust Symptom Recognition

Rust Symptom Recognition is a computational method designed to identify and classify observable indicators of disease in plant foliage specifically caused by rust fungi, distinguishing it from other symptom recognition approaches by its targeted focus on rust-specific phenotypic expressions in agricultural and botanical diagnostics.

79

Publications

3.5K

Citations

307

Authors

149

Institutions

Publications per year

2017–2026

39

Authors

307

  1. GY
    Guijun Yang

    National Engineering Research Center for Information Technology in Agriculture, China

    3 publications · 209 citations

    3

    h-index

  2. JZ
    Jingcheng Zhang

    Hangzhou Dianzi University, China

    3 publications · 187 citations

    3

    h-index

  3. JA
    Jacques Avelino

    Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France

    3 publications · 75 citations

    3

    h-index

  4. LY
    Lin Yuan

    National Engineering Research Center for Information Technology in Agriculture, China

    2 publications · 158 citations

    2

    h-index

  5. DA
    Davoud Ashourloo

    Shahid Beheshti University, Iran

    2 publications · 283 citations

    2

    h-index

1–5 of 307

Venues

  1. Computers and Electronics in Agriculture

    5 publications · 421 citations

    5

    h-index

  2. Plant Pathology

    4 publications · 249 citations

    4

    h-index

  3. Precision Agriculture

    5 publications · 392 citations

    4

    h-index

  4. Phytopathology

    3 publications · 126 citations

    3

    h-index

  5. Physiological and Molecular Plant Pathology

    PMPP · 2 publications · 49 citations

    2

    h-index

1–5