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Title:Aplikacijski programski vmesnik za zgodnjo oceno pridelka jabolk : magistrsko delo
Authors:ID Ferčec, Anže (Author)
ID Kolmanič, Simon (Mentor) More about this mentor... New window
Files:.pdf MAG_Fercec_Anze_2024.pdf (13,58 MB)
MD5: 16F6A6BC1E92BB5069B4296C3D2CD802
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Cilj magistrskega dela je bil implementirati aplikacijski programski vmesnik, ki bi sadjarjem na enostaven način, s pomočjo desetih slik iz sadovnjaka, omogočal izračun zgodnje napovedi pridelka. V magistrskem delu je najprej predstavljen pomen tehnologije v agrikulturi in pregled sorodnih obstoječih del. Temu sledi predstavitev zasnove projekta in nato podroben opis implementacije vsakega dela naše rešitve, kjer je predstavljena implementacija strežnika, iskanja referenčnega objekta, iskanja jabolk ter napovedi pridelka. Na koncu magistrskega dela je opisano še testiranje naše implementacije na štirinajstih skupinah slik iz različnih sadovnjakov. Testi so pokazali, da je aplikacijski programski vmesnik dosegel povprečno 79,49 % natančnost pri napovedovanju pridelka jabolk.
Keywords:ocena pridelka, sadjarstvo, obdelava slik, detekcija objektov, aplikacijski programski vmesnik
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Ferčec]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (XI, 67 str.))
PID:20.500.12556/DKUM-91419 New window
UDC:004.777(043.2)
COBISS.SI-ID:226806787 New window
Publication date in DKUM:06.02.2025
Views:206
Downloads:57
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:19.12.2024

Secondary language

Language:English
Title:Application programming interface for early apple yield estimation
Abstract:The aim of the master thesis was to implement an application programming interface that would allow fruit growers to easily calculate early apple yield estimation using ten images from the orchard. The master thesis first presents the importance of technology in agriculture and reviews related existing work. This is followed by a presentation of the project design and then a detailed description of the implementation of each part of our solution, where the implementation of the server, the reference object search, the apple search and the yield prediction are presented. At the end of thesis, the testing of our implementation on fourteen groups of images from different orchards is described. The tests showed that the application programming interface achieved an average accuracy of 79,49 % in estimating apple yield.
Keywords:yield estimation, fruit growing, image processing, object detection, application programming interface


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