Pest Damage Detection
Pest Damage Detection is a remote sensing-based analytical method that identifies and characterizes biotic stress indicators in vegetation caused by pest infestations through the interpretation of spectral, spatial, and temporal anomalies in multispectral or hyperspectral imagery.
192
Publications
8.5K
Citations
741
Authors
275
Institutions
Publications per year
2017–2026
86
192
Deep Learning for Image-Based Cassava Disease Detection
Frontiers in Plant Science · 2017 · 680 citations · Full text
AI-powered banana diseases and pest detection
Michael Gomez Selvaraj, Alejandro Perdomo Vergara, Henry Ruiz et al. · Plant Methods · 2019 · 432 citations · Full text
1–5 of 192
741
9
h-index
8
h-index
6
h-index
4
h-index
4
h-index
1–5 of 741
275
Canadian Forest Service
Ottawa, Canada
9 h-index
19 publications
1.5K citations

Agricultural Research Service
Washington, United States
9 h-index
20 publications
804 citations
Natural Resources Canada
Ottawa, Canada
8 h-index
17 publications
1.3K citations
University of California, Davis
Davis, United States
6 h-index
14 publications
501 citations

University of KwaZulu-Natal
Durban, South Africa
5 h-index
10 publications
504 citations
China Agricultural University
Beijing, China
5 h-index
20 publications
485 citations

University of British Columbia
Vancouver, Canada
4 h-index
7 publications
761 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
4 h-index
13 publications
233 citations
1–8 of 275
10 publications · 355 citations
10
h-index
11 publications · 1.2K citations
10
h-index
8 publications · 466 citations
7
h-index
JARS · 5 publications · 208 citations
5
h-index
5 publications · 216 citations
5
h-index
1–5