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.
Primary Language | English |
---|---|
Subjects | Artificial Intelligence |
Journal Section | Articles |
Authors | |
Publication Date | December 30, 2020 |
Submission Date | July 24, 2020 |
Acceptance Date | November 4, 2020 |
Published in Issue | Year 2020Volume: 3 Issue: 3 |
The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License