Cluster Visibility Estimation
Cluster Visibility Estimation is a computational metric in precision agriculture that quantifies the proportion of grapevine or fruit clusters detectable in image-based crop load assessments, differentiating itself from general yield estimation methods by specifically addressing occlusion and canopy density effects on visual sensing accuracy.
7
Publications
418
Citations
20
Authors
12
Institutions
Publications per year
2017–2026
1
Parents
7
1–5 of 7
20
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12

National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
68 citations
Instituto de Ciencias de la Vid y del Vino
Logroño, Spain
1 h-index
2 publications
114 citations

Zhejiang University
Hangzhou, China
1 h-index
3 publications
330 citations
China Jiliang University
Hangzhou, China
1 h-index
1 publications
110 citations
Guangdong University of Technology
Guangzhou, China
1 h-index
2 publications
268 citations

South China Agricultural University
Guangzhou, China
1 h-index
3 publications
402 citations

Universidad de La Rioja
Logroño, Spain
1 h-index
2 publications
114 citations
Gobierno de La Rioja
Logroño, Spain
1 h-index
2 publications
114 citations
1–8 of 12
TVCG · 1 publications · 19 citations
1
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1 publications · 17 citations
1
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1 publications · 134 citations
1
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1 publications · 10 citations
1
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1 publications · 71 citations
1
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1–5