Disease Damage Detection
Disease Damage Detection is a forest disturbance detection method that specifically identifies pathological changes in vegetation caused by biotic agents such as fungi, bacteria, viruses, or pests through the analysis of remote sensing data or in situ observations.
132
Publications
5.4K
Citations
691
Authors
316
Institutions
Publications per year
2017–2026
67
Parents
132
Plant Disease Recognition Model Based on Improved YOLOv5
Zhaoyi Chen, Ruhui Wu, Yiyan Lin et al. · Agronomy · 2022 · 269 citations · Full text
Semantic segmentation of microbial alterations based on SegFormer
Wael M. Elmessery, Danil V. Maklakov, Tamer M. El‐Messery et al. · Frontiers in Plant Science · 2024 · 126 citations · Full text
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University of Alabama at Birmingham
Birmingham, United States
4 h-index
12 publications
2.1K citations

Beijing Forestry University
Beijing, China
3 h-index
12 publications
371 citations

University of Toronto
Toronto, Canada
3 h-index
6 publications
1.1K citations
Canadian Forest Service
Ottawa, Canada
3 h-index
7 publications
760 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
3 h-index
14 publications
332 citations
SickKids Foundation
Toronto, Canada
3 h-index
6 publications
1.1K citations
University of Florida
Gainesville, United States
3 h-index
12 publications
630 citations
Hospital for Sick Children
Toronto, Canada
3 h-index
6 publications
1.1K citations
1–8 of 316
6 publications · 167 citations
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5 publications · 165 citations
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5 publications · 147 citations
5
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5 publications · 190 citations
5
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4 publications · 396 citations
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