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Title:Prepoznavanje rastlin in njihovih bolezni z mobilno aplikacijo
Authors:ID Trunkelj, Rok (Author)
ID Leskovar, Robert (Mentor) More about this mentor... New window
Files:.pdf VS_Trunkelj_Rok_2025.pdf (3,07 MB)
MD5: D1C462FC28513515842F3439B94B11D4
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Raziskava obravnava prepoznavanje izbranih rastlin in njihovih bolezni s pomočjo mobilne aplikacije. Na kratko so predstavljena uporabljena orodja: Orange Data mining, Android Studio, MS Visio, Figma, Flask, Nginx in Gunicorn. Arhitektura rešitve obsega virtualno okolje v oblaku s strežniki za dostop do modelov za klasifikacijo rastlin in njihovih bolezni in aplikacijo Android. Opisan je postopek izdelave modelov strojnega učenja, ki so bili preneseni na strežnik. V nalogi so prikazani pomembni deli kode in podana razlaga vseh aspektov delovanja aplikacije.
Keywords:umetna inteligenca, razvoj aplikacije, analiza podatkov, podatkovno rudarjenje, Orange Data Mining.
Place of publishing:Maribor
Year of publishing:2025
PID:20.500.12556/DKUM-91569 New window
COBISS.SI-ID:231915779 New window
Publication date in DKUM:09.04.2025
Views:191
Downloads:26
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:15.01.2025

Secondary language

Language:English
Title:Recognition of plants and their diseases with mobile application
Abstract:The research focuses on recognizing selected plants and their diseases through a mobile application. Key tools Orange Data Mining, Android Studio, Figma, Flask, Nginx, and Gunicorn are briefly introduced. The solution's architecture consists of a cloud based virtual environment hosting servers that run models to classify plants and their diseases, along with an Android application. The process of developing machine learning models and deploying them to the server is detailed, with essential code snippets and explanations of all aspects of the application's functionality provided in the assignment.
Keywords:artificial intelligence, application developement, data analysis, data mining, Orange Data Mining.


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