MODERN LEARNING TECHNIQUES AND PLANT IMAGE CLASSIFICATION

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
Volume:62 Issue:2
MODERN LEARNING TECHNIQUES AND PLANT IMAGE CLASSIFICATION

MODERN LEARNING TECHNIQUES AND PLANT IMAGE CLASSIFICATION

Authors : Metehan ÜNAL, Erkan BOSTANCİ, Mehmet Serdar GUZEL, Ayhan AYDIN

Pages : 153-163

Doi:10.33769/aupse.627897

View : 15 | Download : 10

Publication Date : 2020-12-31

Article Type : Research Paper

Abstract :The intelligent machines concept is born in sci-fi scenarios. Today it seems to be we are much closer to realizing this idea than ever before. By imitating the human nervous system, machines can learn many things. This paper explains modern learning techniques like artificial neural networks, transfer learning. Later purposes an experiment to classify plant seedling images to test the transfer learning with two different CNN architectures. Although the architects were not actually created for this task, result were quite accurate for a different classification task.
Keywords : Plan Classification, Convolutional Neural Network, AlexNet, VGGNet

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.