Authors: Hanhan Maulana, Kanai H
Abstract
This study aims to visualize the potential agricultural land suitability using the Collaborative Augmented Reality Geographical Information System (AR-GIS). In agriculture decision-making, geographical aspect is one of the important factors to be considered. However, there are plenty of limitation in the early AR platform and one of which is the limitation on the number of users. Cloud-based anchor points are able to overcome this limitation by connecting multiple users via the internet which allows them to see, interact, and synchronize a digital context simultaneously. Through this technology, this research was divided into two stages. The first stage is to make a land suitability map. The second stage is the development of Collaborative AR GIS by adopting a user-centred design approach. This study integrates GIS with AR visualization capabilities to visualize land suitability maps then enable multi-user collaboration work based on AR Object. This study developed an AR-GIS-based system using UNITY 3D. The built AR GIS was based on multi-platform to overcome the various mobile device platforms used by farmers which then integrated with Cloud anchors to connect one device to another. Cloud anchors enable collaborative work between farmers and other stakeholders. This study evaluates the system performance using two devices that have different specifications. Based on the evaluation result, good maps visualization is able to be provided by the collaborative AR-GIS. The collaborative AR technology also gives an alternative visualization as well as alternative interaction with maps that have multiple users. This system is envisioned to improve the understanding of farmers towards land suitability map. It is expected that the collaborative AR-GIS system is able to provide a helpful aid to the farmers in terms of decision-making. With well-informed decision and insight on land suitability map, the risk of crop failure can be minimised, and the agricultural sector’s productivity can be increased. © 2023 Taylor’s University. All rights reserved.
Author keywords
2708; Agriculture GIS; Cloud anchors; Collaborative system; GIS; Land suitability maps
This article can be accessed at https://www.scopus.com/pages/publications/85176566794
