Automatic Grading is a technological system in aquaculture automation that classifies aquatic organisms by size, weight, or quality attributes using sensor-based measurement and automated mechanical separation, distinguishing it from manual or random grading methods through its precision, consistency, and real-time operational capability.
284
Publications
12K
Citations
1K
Authors
400
Institutions
Publications per year
2017–2026
140
Parents
Publications
284
1–5 of 284
Authors
1K
- FF
7
h-index
- TY
6
h-index
- RJ
6
h-index
- TX
5
h-index
- NT
5
h-index
1–5 of 1K
Institutions
400
North Carolina State University
Raleigh, United States
7 h-index
10 publications
354 citations
Microsoft (United States)
Redmond, United States
7 h-index
15 publications
808 citations
L'Oréal (France)
Clichy, France
7 h-index
22 publications
697 citations
Institute for Infocomm Research
Singapore, Singapore
6 h-index
19 publications
746 citations
National University of Singapore
Singapore, Singapore
6 h-index
11 publications
688 citations
University of British Columbia
Vancouver, Canada
5 h-index
26 publications
3.2K citations
Sun Yat-sen University
Guangzhou, China
4 h-index
11 publications
431 citations
Agency for Science, Technology and Research
Singapore, Singapore
4 h-index
13 publications
461 citations
1–8 of 400
Venues
- Computers and Electronics in Agriculture
10 publications · 518 citations
10
h-index
- IEEE Access
4 publications · 134 citations
5
h-index
- IEEE Journal of Biomedical and Health Informatics
4 publications · 308 citations
5
h-index
- Skin Research and Technology
3 publications · 74 citations
4
h-index
- Journal of computing sciences in colleges
4 publications · 54 citations
4
h-index
1–5