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Translated title of the contribution: A mobile plant identification application for environmental monitoring

Cihan Türkay, Can Güney Aksakalli, Kübra Özmal, Hazim Kemal Ekenel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a computer vision-based mobile plant classification application. The objectives to develop such a mobile application is to utilize smartphones and benefit from the photographs taken by their camera in order to perform environmental monitoring. Moreover, enabling individuals to use such a technnology is expected to increase individuals' awareness to their environment. The developed application identifies the plants by processing a photograph of its leaf. The main processing steps of the system are: determining whether there is a leaf in the photo, detecting whether there is a blur, leaf segmentation, feature extraction, and classification. Each building block of the system is tested separately and promising results have been obtained in the experiments.

Translated title of the contributionA mobile plant identification application for environmental monitoring
Original languageUndefined
Title of host publication2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOIs
StatePublished - 2013
Event2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey
Duration: Apr 24 2013Apr 26 2013

Publication series

Name2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Conference

Conference2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Country/TerritoryTurkey
CityHaspolat
Period4/24/134/26/13

Keywords

  • Automatic plant identification
  • Environmental monitoring
  • Smartphone application

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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