TY  - JOUR
TI  - Identification of Plant Species by Deep Learning and Providing as A Mobile Application
AB  - 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 developedthat takes photo of a plant and makes image processing on it to provide information about its name, the time tochange the soil, the amount of sun light and nutrition it needs. The model is trained using the Convolutional NeuralNetworks, and dataset is successfully applied to the network. Currently, the application is capable to classify 43different plants in mobile environment, and its classification capacity is planned to be expanded with new plantspecies as a future study. Up to 90% accuracy is reached in this study with the current version of the application.
AU  - ADAK, M. Fatih
DO  - 10.35377/saucis.03.03.773465
PY  - 2020
JO  - Sakarya University Journal of Computer and Information Sciences  (Online)
VL  - 3
IS  - 3
SN  - 2636-8129
SP  - 231
EP  - 238
DB  - TRDizin
UR  - http://search/yayin/detay/412170
ER  -