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master's thesis
Primjena računalnog vida za detekciju korova na plantaži jagoda
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:235:461425
Makarun, Josip
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Makarun, J. (2024). Primjena računalnog vida za detekciju korova na plantaži jagoda (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:461425

Makarun, Josip. "Primjena računalnog vida za detekciju korova na plantaži jagoda." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:461425

Makarun, Josip. "Primjena računalnog vida za detekciju korova na plantaži jagoda." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:461425

Makarun, J. (2024). 'Primjena računalnog vida za detekciju korova na plantaži jagoda', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:461425

Makarun J. Primjena računalnog vida za detekciju korova na plantaži jagoda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2024 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:461425

J. Makarun, "Primjena računalnog vida za detekciju korova na plantaži jagoda", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:235:461425

Metadata
TitlePrimjena računalnog vida za detekciju korova na plantaži jagoda
Title (english)Application of computer vision for weed detection on strawberry plantation
AuthorJosip Makarun
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2024-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Production Mechanical Engineering
Abstract
Razvojem umjetne inteligencije pojavile su se nove tehnologije koje koriste istu. Jedna od njih je i računalni vid koji ima istu ulogu za računala kao što oči imaju kod čovjeka. Uz pomoć računalnog vida mnogi problemi koje je čovjek teško rješavao postaju rješivi od strane računala u veoma kratkom vremenu i to s točnošću kakvom niti jedno ljudsko oko ne može riješiti. U ovome radu uz pomoć YOLOv8 algoritma, trenirat će se model koji će moći detektirati 4 vrste korova na plantaži jagoda. U radu će biti opisan postupak izrade samog modela te bit će dana rješenja za moguća poboljšanja modela u budućnosti.
Abstract (english)
With the development of artificial intelligence, new technologies have appeared that use it. One of them is computer vision, which has the same role for computers as the eyes have for humans. With the help of computer vision, many problems that were difficult for humans to solve became solvable by computers in a very short time and with accuracy that no human eye can solve. In this work, using the YOLOv8 algorithm, a model will be trained to detect 4 types of weed on a strawberry plantation. The process of creating a model will be explained and solutions for possible improvements in the future will be provided.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:461425
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-12 16:49:54