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פותח על ידי קלירמאש פתרונות בע"מ -
In-vivo fish counting by non-imaging system
שנה:
2017
מקור הפרסום :
Optics InfoBase Conference Papers
מחברים :
ארד, אור
;
.
ברקי, אסף
;
.
ציון, בועז
;
.
קלפ, יפתח
;
.
רוזנפלד, לביא
;
.
שקד, בן
;
.
כרך :
Part F71-PV 2017
מחברים נוספים:
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
מנחים :
מעמוד:
0
עד עמוד:
0
(
סהכ עמודים:
1
)
תקציר:
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.
הערות:
קבצים קשורים :
(010.4030) mirages and refraction
And metrology
MEASUREMENTS
Shallow waters
דגים
עוד תגיות
תוכן קשור
פרטים נוספים
מזהה עצם דיגיטלי :
10.1364/PV.2017.JW5A.11
מס' מאמר:
0
שיוך:
מאגר מידע:
סקופוס
סוג חומר:
מאמר מתוך כינוס
;
.
שפה:
אנגלית
הערות לעורכים:
מזהה:
20041
עודכן לאחרונה:
02/03/2022 17:27
תאריך יצירה:
16/04/2018 23:33
פרסום מדעי
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.
פרסום מדעי
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