Öǧrenme transferi ile bitki gelişiminin görsel analizi

Translated title of the contribution: Visual analysis of plant growth using transfer learning

Hulya Yalcin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Attention for monitoring growth of plants has been escalating in recent years, due to concerns on climate change and its impacts on the ecosystem. Understanding the growth characteristics of plants is vital for management of resources and optimization of crop yield in agricultural sector as well. Each plant population exhibits varying seasonal growth and reproduction manner with respect to the local environmental parameters. Using computational power of advancing technology is becoming unavoidable for the optimal usage of resources and human labor. In this paper, growth stages of plants are analyzed using recently advancing technologies of transfer learning. Deep learning is utilized for visual analysis of a variety of plants at different growing stages. The performance of a particular deep learning architecture is investigated for phenology recognition of agricultural plants at roughly three phenological stages, namely early, middle and late phenological stages.

Translated title of the contributionVisual analysis of plant growth using transfer learning
Original languageTurkish
Title of host publicationSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436496
DOIs
Publication statusPublished - 9 Jun 2021
Event29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 - Virtual, Istanbul, Turkey
Duration: 9 Jun 202111 Jun 2021

Publication series

NameSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings

Conference

Conference29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021
Country/TerritoryTurkey
CityVirtual, Istanbul
Period9/06/2111/06/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

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