prikaz prve stranice dokumenta Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima
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master's thesis
Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:473937
Rezo, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rezo, M. (2022). Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:473937

Rezo, Marko. "Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:473937

Rezo, Marko. "Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:473937

Rezo, M. (2022). 'Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:473937

Rezo M. Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:473937

M. Rezo, "Razvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:473937

Metadata
TitleRazvoj simulatora za testiranje metoda estimacije biomase riba u morskim uzgojnim kavezima
Title (english)Development of a simulator for testing methods for estimation of fish biomass in marine fish cages
AuthorMarko Rezo
MentorZdenko Kovačić (mentor)
Committee memberZdenko Kovačić (predsjednik povjerenstva)
Committee memberMatko Orsag (član povjerenstva)
Committee memberGoran Vasiljević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-02-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu bavimo se problemom estimacije biomase ribe u morskim ribogojilištima korištenjem heterogenog robotskog sustav koji se sastoji od bespilotnih letjelica i podvodnih vozila. Fotografije iz zraka dobivene pomoću bespilotnih letjelica tijekom hranjenja ribe predstavljaju ulazne podatke za procjenu broja riba te time i količine biomase u kavezu. S obzirom na nedostupnost pravih slika i podataka o pripadajućem broju ribe izrađen je simulator kojim su stvoreni sintetički podaci za obradu i izračun parametara aproksimacijskih funkcija. Rezultati dobiveni aproksimativnom metodom za procjenu broja riba na temelju obrade dobivenih slika u virtualnom dobiveni pokazuju da je ovaj problem iznimno složen. Potrebna je daljnja analiza uzgojnih kaveza po dubini i testiranje na stvarnim podacima.
Abstract (english)
In this paper, we deal with the problem of estimating fish biomass in marine fish farms using heterogeneous a robotic system consisting of drones and underwater vehicles. Aerial photographs obtained by drones during fish feeding are input data for estimating the number of fish and thus the amount of biomass in the cage. Given the unavailability of real images and data on the number of fish in those images, a simulator was created with which is possible to create synthetic data for processing and calculating the parameters of approximative functions. Results obtained by an approximate method for estimating the number of fish based on the processing of the obtained images in the virtual obtained show that this problem is extremely complex. Further depth analysis of breeding cages and testing on real data is required.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:473937
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:41:21