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
Parents
79
1–5 of 79
307
National Engineering Research Center for Information Technology in Agriculture, China
3 publications · 209 citations
3
h-index
3
h-index
Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France
3 publications · 75 citations
3
h-index
National Engineering Research Center for Information Technology in Agriculture, China
2 publications · 158 citations
2
h-index
2
h-index
1–5 of 307
149
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
5 h-index
19 publications
970 citations
China Agricultural University
Beijing, China
4 h-index
9 publications
692 citations
University of Florida
Gainesville, United States
3 h-index
9 publications
147 citations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Paris, France
3 h-index
6 publications
183 citations
K.N.Toosi University of Technology
Tehran, Iran
2 h-index
4 publications
653 citations

University of Cauca
Popayán, Colombia
2 h-index
6 publications
117 citations
Instituto de Agricultura Sostenible
Córdoba, Spain
2 h-index
6 publications
228 citations
Centro Agronomico Tropical de Investigacion y Ensenanza Catie
Turrialba, Costa Rica
2 h-index
4 publications
128 citations
1–8 of 149
5 publications · 421 citations
5
h-index
4 publications · 249 citations
4
h-index
5 publications · 392 citations
4
h-index
3 publications · 126 citations
3
h-index
PMPP · 2 publications · 49 citations
2
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1–5