TY - GEN
T1 - SALATA
T2 - 9th International Conference on Sensor Networks, SENSORNETS 2020
AU - Akayama, Nao
AU - Arita, Daisaku
AU - Shimada, Atsushi
AU - Taniguchi, Rin Ichiro
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP18H04117 and JP17H01768.
Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP18H04117 and JP17H01768. We would like to thank Mr. Yano, Itoshima Agricultural High School, Japan.
Publisher Copyright:
Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85082986224
T3 - SENSORNETS 2020 - Proceedings of the 9th International Conference on Sensor Networks
SP - 113
EP - 120
BT - SENSORNETS 2020 - Proceedings of the 9th International Conference on Sensor Networks
A2 - Ansari, Nirwan
A2 - Ahrens, Andreas
A2 - Benavente-Peces, Cesar
PB - SciTePress
Y2 - 28 February 2020 through 29 February 2020
ER -