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Development of Artificial Intelligence-Supported Mobile Application Introducing Tree Species in Kastamonu   
Yazarlar (4)
Dr. Öğr. Üyesi Atilla SUNCAK Dr. Öğr. Üyesi Atilla SUNCAK
Kastamonu Üniversitesi, Türkiye
Okan İşsever
Zeynep Demiroğlu
Ensar Eren
Devamını Göster
Özet
This study examines the development of an artificial intelligence-supported mobile application to introduce tree species in the Kastamonu region. Taking into account the rich forest structure of the region, the application allows users to identify tree species and provides information about the characteristics of trees, their industrial use areas and their resistance to diseases and pests. The application has a user-friendly interface and offers options to filter trees by leaf type or alphabetical order. Thanks to the Google Lens integration, users can determine the type of a tree by taking a photo and easily access relevant information. In addition, the learning process is supported with educational games specially designed for children. The Kotlin programming language and MVVM architecture were used in the development process of the application. Kotlin Coroutines were used for asynchronous data processing, Android Room library for data storage and Android Navigation Library for transitions between pages. The application prototype was tested on 50 children between the ages of 10-15 and a survey was conducted regarding user experience. According to the results, the application received generally positive feedback, especially the Google Lens integration and user-friendly interface were appreciated. Educational games were found to be interesting, however it was stated that they need to be developed further. As a result, this mobile application has the potential to be an important tool for nature education and the promotion of tree species. The study, which demonstrates the effective use of artificial intelligence and mobile technology in education ...
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayımlanan tam makale
Dergi Adı Innovative Artificial Intelligence
Dergi ISSN 3062-4223
Dergi Tarandığı Indeksler
Makale Dili İngilizce
Basım Tarihi 05-2025
Cilt No 1
Sayı 1
Sayfalar 14 / 20
BM Sürdürülebilir Kalkınma Amaçları
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