Identification of Plant Species by Deep Learning and Providing as A Mobile Application

Muhammed Fatih Adak

doi:10.35377/saucis.03.03.773465

EN

Identification of Plant Species by Deep Learning and Providing as A Mobile Application

Abstract

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.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Muhammed Fatih Adak ^*
0000-0003-4279-0648
Türkiye

Publication Date

December 30, 2020

Submission Date

July 24, 2020

Acceptance Date

November 4, 2020

Published in Issue

Year 2020 Volume: 3 Number: 3

DOI

https://doi.org/10.35377/saucis.03.03.773465

IZ

https://izlik.org/JA77SR22KS

Cite

RIS / Bibtex

APA

Adak, M. F. (2020). Identification of Plant Species by Deep Learning and Providing as A Mobile Application. Sakarya University Journal of Computer and Information Sciences, 3(3), 231-238. https://doi.org/10.35377/saucis.03.03.773465

AMA

1.Adak MF. Identification of Plant Species by Deep Learning and Providing as A Mobile Application. SAUCIS. 2020;3(3):231-238. doi:10.35377/saucis.03.03.773465

Chicago

Adak, Muhammed Fatih. 2020. “Identification of Plant Species by Deep Learning and Providing As A Mobile Application”. Sakarya University Journal of Computer and Information Sciences 3 (3): 231-38. https://doi.org/10.35377/saucis.03.03.773465.

EndNote

Adak MF (December 1, 2020) Identification of Plant Species by Deep Learning and Providing as A Mobile Application. Sakarya University Journal of Computer and Information Sciences 3 3 231–238.

IEEE

[1]M. F. Adak, “Identification of Plant Species by Deep Learning and Providing as A Mobile Application”, SAUCIS, vol. 3, no. 3, pp. 231–238, Dec. 2020, doi: 10.35377/saucis.03.03.773465.

ISNAD

Adak, Muhammed Fatih. “Identification of Plant Species by Deep Learning and Providing As A Mobile Application”. Sakarya University Journal of Computer and Information Sciences 3/3 (December 1, 2020): 231-238. https://doi.org/10.35377/saucis.03.03.773465.

JAMA

1.Adak MF. Identification of Plant Species by Deep Learning and Providing as A Mobile Application. SAUCIS. 2020;3:231–238.

MLA

Adak, Muhammed Fatih. “Identification of Plant Species by Deep Learning and Providing As A Mobile Application”. Sakarya University Journal of Computer and Information Sciences, vol. 3, no. 3, Dec. 2020, pp. 231-8, doi:10.35377/saucis.03.03.773465.

Vancouver

1.Muhammed Fatih Adak. Identification of Plant Species by Deep Learning and Providing as A Mobile Application. SAUCIS. 2020 Dec. 1;3(3):231-8. doi:10.35377/saucis.03.03.773465