Sakarya University Journal of Computer and Information Sciences

Yazarlar: Muhammed Fatih ADAK

Konular:Bilgisayar Bilimleri, Yapay Zeka

DOI:10.35377/saucis.03.03.773465

Anahtar Kelimeler:Plant classification,Deep learning,CNN,Mobile system

Özet: Image processing techniques give highly successful results when used deep learning in classification studies. Applications benefit from this kind of work to make life easier. In this study, a mobile application is developed that takes photo of a plant and makes image processing on it to provide information about its name, the time to change the soil, the amount of sun light and nutrition it needs. The model is trained using the Convolutional Neural Networks, and dataset is successfully applied to the network. Currently, the application is capable to classify 43 different plants in mobile environment, and its classification capacity is planned to be expanded with new plant species as a future study. Up to 90% accuracy is reached in this study with the current version of the application.

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