Machine Vision Guidance
Machine Vision Guidance is a systematic method within automated spraying systems that employs image processing and pattern recognition algorithms to dynamically direct spray nozzles by real-time identification and localization of target areas, distinguishing itself from conventional guidance approaches through its reliance on visual data for precise spatial decision-making.
160
Publications
7.7K
Citations
502
Authors
190
Institutions
Publications per year
2017–2026
51
Parents
160
Machine vision: Theory, algorithms, practicalities
CVGIP Image Understanding · 1991 · 857 citations
CVGIP Image Understanding · 1991 · 350 citations
Bridge inspection robot system with machine vision
Je-Keun Oh, Giho Jang, Semin Oh et al. · Automation in Construction · 2009 · 257 citations
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502
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190
China Agricultural University
Beijing, China
4 h-index
18 publications
519 citations
Texas A&M University
College Station, United States
4 h-index
7 publications
252 citations

Hanyang University
Seoul, South Korea
3 h-index
15 publications
2.3K citations
Universität der Bundeswehr München
Munich, Germany
3 h-index
10 publications
404 citations
National Institute of Standards and Technology
Gaithersburg, United States
3 h-index
8 publications
239 citations
University of Florida
Gainesville, United States
3 h-index
9 publications
844 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
201 citations
Monterey County Health Department
Salinas, United States
2 h-index
2 publications
73 citations
1–8 of 190
7 publications · 412 citations
7
h-index
4 publications · 135 citations
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4 publications · 159 citations
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4 publications · 120 citations
4
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2 publications · 36 citations
2
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1–5