SALATA: A Web Application for Visualizing Sensor Information in Farm Fields

Nao Akayama, Daisaku Arita, Atsushi Shimada, R. Taniguchi
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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.
SALATA:用于可视化农田传感器信息的Web应用程序
近年来,农业领域条件和活动的半自动化传感和可视化得到了积极的发展。农业信息有三种类型:传感器信息、农业工作信息和植物生物信息。测量和可视化这些农业信息可以为农场管理者提供有价值的支持。在本研究中,我们以传感器信息和农活信息为研究对象,开发了一个名为SALATA (Sharing and accumulation Agricultural TAcit knowledge)的web应用程序,用于收集和共享田间采集的传感器信息和农活信息,并将信息进行时间序列关联。SALATA需要有直观的操作和快速的反应,以便不同年龄的人每天都能使用它。因此,有两个主要页面:用于快速可视化简单信息的主页和用于在一个页面上可视化多个信息的分析页面。进行了可用性评估实验,结果表明SALATA操作直观,响应速度快。
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