Image-based Weed Identification
Image-Based Weed Identification is a computational method within the domain of turfgrass science that uses digital image analysis to detect and classify weed species in turfgrass environments through visual pattern recognition and machine learning algorithms.
312
Publications
18K
Citations
1K
Authors
339
Institutions
Publications per year
2017–2026
222
312
1–5 of 312
1K
8
h-index
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339

Nanjing Forestry University
Nanjing, China
9 h-index
26 publications
1.5K citations
Jilin Agricultural University
Changchun, China
8 h-index
54 publications
1.8K citations
Texas A&M University
College Station, United States
8 h-index
15 publications
639 citations
China Agricultural University
Beijing, China
7 h-index
24 publications
1.2K citations
Universidad Complutense de Madrid
Madrid, Spain
7 h-index
16 publications
1.9K citations
Centre for Automation and Robotics
Arganda, Spain
7 h-index
15 publications
1.7K citations
North Dakota State University
Fargo, United States
6 h-index
23 publications
888 citations
Software (Spain)
Tres Cantos, Spain
6 h-index
13 publications
1.6K citations
1–8 of 339
44 publications · 4.8K citations
37
h-index
13 publications · 499 citations
13
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11 publications · 341 citations
12
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11 publications · 583 citations
11
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10 publications · 572 citations
10
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1–5