Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.
Enabling Visualization and Processing of Location-Based Data via OADA’s Client-Selectable Live Data Graphs
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: 2021 ASABE Annual International Virtual Meeting 2101126.(doi:10.13031/aim.202101126)
Authors: Aaron J Neustedter, Tomohiro Arakawa, Yaguang Zhang, Fabio A Castiblanco, Alex Layton, Andrew Balmos, Aaron Ault, James V Krogmeier, Dennis Buckmaster
Keywords: API, data visualization, field boundaries, GPS, precision agriculture
Abstract. The Open Ag Data Alliance (OADA) framework is an open-source project proposed by the Open Agriculture Technology and Systems Center at Purdue University to solve the data interoperability challenge faced by today‘s digital agriculture community. Its reference implementation provides a client-selectable live interface that allows fast yet robust development of coordinated and reactive multi-client applications. This paper showcases this feature via a flexible and easy-to-use web interface that visualizes raw location data from different sources and post-collection processing results within an agricultural setting. Specifically, the Client-Selectable Live Data Graphs from the OADA Application Programming Interface ere leveraged to ensure visualization updates with minimal delay and overhead as data arrived at the server. This web application provides direct benefits to farmers while serving as an example of the strengths of OADA as a data automation tool for sensor data storage, processing, and visualization.
(Download PDF) (Export to EndNotes)