SALATA: A web application for visualizing sensor information in farm fields

Nao Akayama, Daisaku Arita, Atsushi Shimada, Rin Ichiro Taniguchi

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

Abstract

Semi-automated sensing and visualization of conditions and activities in farm fields have been actively pursued in recent years. There are three types of agricultural information: sensor information, farm work information, and plant biological information. Measuring and visualizing these agricultural information can provide valuable support to farm managers. In this study, we focus on sensor information and farm work information and develop a web application named SALATA (Sharing and AccumuLating Agricultural TAcit knowledge) that collects and shares sensor information and farm work information collected in farm fields and correlates the information in time series. SALATA need to have intuitive operation and quick response in order that people of various ages will use it on a daily basis. Therefore, there are two primary pages: the main page for visualizing simple information quickly and the analytical page for visualizing multiple pieces of information on one page. Usability evaluation experiments are performed, showing that SALATA can be operated intuitively and respond quickly.

Original languageEnglish
Title of host publicationSENSORNETS 2020 - Proceedings of the 9th International Conference on Sensor Networks
EditorsNirwan Ansari, Andreas Ahrens, Cesar Benavente-Peces
PublisherSciTePress
Pages113-120
Number of pages8
ISBN (Electronic)9789897584039
Publication statusPublished - 2020
Event9th International Conference on Sensor Networks, SENSORNETS 2020 - Valletta, Malta
Duration: Feb 28 2020Feb 29 2020

Publication series

NameSENSORNETS 2020 - Proceedings of the 9th International Conference on Sensor Networks

Conference

Conference9th International Conference on Sensor Networks, SENSORNETS 2020
CountryMalta
CityValletta
Period2/28/202/29/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Electrical and Electronic Engineering

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