Sensing technologies for advanced smart agricultural systems

Hideaki Uchiyama, Shunsuke Sakurai, Yoshiki Hashimoto, Atsutoshi Hanasaki, Daisaku Arita, Takashi Okayasu, Atsushi Shimada, Rin Ichiro Taniguchi

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

1 Citation (Scopus)

Abstract

We introduce our sensing technologies to acquire agricultural information, such as image-based plant phenotyping, harvest quantity data, and localization information using a camera in a greenhouse. Commercial systems exist that support agriculture, but many unresolved issues remain regarding optimization of farming sustainability and productivity. Therefore, we intend to apply state-of-the-art information and communication technology (ICT) to tackle these agricultural issues and to investigate their limitations for developing advanced smart agricultural systems.

Original languageEnglish
Title of host publication2017 11th International Conference on Sensing Technology, ICST 2017
PublisherIEEE Computer Society
Pages1-4
Number of pages4
ISBN (Electronic)9781509065264
DOIs
Publication statusPublished - Feb 27 2018
Event11th International Conference on Sensing Technology, ICST 2017 - Sydney, Australia
Duration: Dec 4 2017Dec 6 2017

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2017-December
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Other

Other11th International Conference on Sensing Technology, ICST 2017
CountryAustralia
CitySydney
Period12/4/1712/6/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Uchiyama, H., Sakurai, S., Hashimoto, Y., Hanasaki, A., Arita, D., Okayasu, T., Shimada, A., & Taniguchi, R. I. (2018). Sensing technologies for advanced smart agricultural systems. In 2017 11th International Conference on Sensing Technology, ICST 2017 (pp. 1-4). [8304451] (Proceedings of the International Conference on Sensing Technology, ICST; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/ICSensT.2017.8304451