A multi-division convolutional neural network-based plant identification system

Turkoglu M., Aslan M., ARI A., Alcin Z. M., HANBAY D.

PEERJ COMPUTER SCIENCE, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume:
  • Publication Date: 2021
  • Doi Number: 10.7717/peerj-cs.572
  • Journal Name: PEERJ COMPUTER SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Directory of Open Access Journals
  • Inonu University Affiliated: Yes

Abstract

Background. Plants have an important place in the life of all living things. Today, there is a risk of extinction for many plant species due to climate change and its environmental impact. Therefore, researchers have conducted various studies with the aim of protecting the diversity of the planet's plant life. Generally, research in this area is aimed at determining plant species and diseases, with works predominantly based on plant images. Advances in deep learning techniques have provided very successful results in this field, and have become widely used in research studies to identify plant species.