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In-vivo fish counting by non-imaging system
Year:
2017
Source of publication :
Optics InfoBase Conference Papers
Authors :
Arad, Or
;
.
Barki, Assaf
;
.
Klapp, Iftach
;
.
Rosenfeld, Lavi
;
.
Shaked, Ben
;
.
Zion, Boaz
;
.
Volume :
Part F71-PV 2017
Co-Authors:
Klapp, I., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Arad, O., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Rosenfeld, L., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Barki, A., Institute of Animal Science, Poultry and Aquaculture, Agricultural Research Organization, Bet Dagan, Israel
Shaked, B., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Zion, B., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Facilitators :
From page:
0
To page:
0
(
Total pages:
1
)
Abstract:
A single-detector shallow-water fish-counting system was created by engineering the field of view of non-imaging optics. The design relaxed the influence of the random water reflections, resulting in 98% counting accuracy.
Note:
Related Files :
(010.4030) mirages and refraction
And metrology
fish
MEASUREMENTS
Shallow waters
Show More
Related Content
More details
DOI :
10.1364/PV.2017.JW5A.11
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
20041
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:33
Scientific Publication
In-vivo fish counting by non-imaging system
Part F71-PV 2017
Klapp, I., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Arad, O., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Rosenfeld, L., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Barki, A., Institute of Animal Science, Poultry and Aquaculture, Agricultural Research Organization, Bet Dagan, Israel
Shaked, B., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
Zion, B., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Bet Dagan, Israel
In-vivo fish counting by non-imaging system
A single-detector shallow-water fish-counting system was created by engineering the field of view of non-imaging optics. The design relaxed the influence of the random water reflections, resulting in 98% counting accuracy.
Scientific Publication
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