Location-Based Augmented Reality In-situ Visualization Applied for Agricultural Fieldwork Navigation

Zheng, Mengya; Campbell, Abraham G.

doi:10.1109/ismar-adjunct.2019.00039

Cited by 28 publications

(13 citation statements)

References 19 publications

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“…This data can come from sensors, and enrich the environment, such as dynamic point clouds (Santana et al, 2017), but also depict statistics related to a geographical object or position. One of the most straightforward approaches is to use color on the floor to represent an attribute of the geographical area such as soil data (Zheng, Campbell, 2019) or yield data (King et al, 2005). The use of 3D visualization has also been explored.…”

Section: Present Datamentioning

confidence: 99%

“…The considered geographically situated visualizations mostly present the objects at their real scale. However, in most of the cases, the geographical referents are big, such as buildings (Lee et al, 2012 and terrain areas (Zheng, Campbell, 2019, King et al, 2005, and thus the visualization is on an environmental-scale (Barba, Marroquin, 2017).…”

Section: Scalesmentioning

confidence: 99%

“…Most of the examples depicting physical data analyzed here visualize 3D objects, using their corresponding 3D representations. Visualizations depicting abstract data rely sometimes on 3D visualization, but these are used to represent mostly one dimensional data tied to a geographical positions such as soil scorch percentage (Zheng, Campbell, 2019) or O/D graphs (Engelke et al, 2016). The visualization of 3D to visualize 3D physical data such as wind direction and speed, or other kind of flows seems under explored for now, with only one exception (Ritterbusch et al, 2013).…”

Section: Visualizing 3d Datamentioning

confidence: 99%

See 2 more Smart Citations

Opportunities and Challenges for Augmented Reality Situated Geographical Visualization

Lobo

Christophe

2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Augmented reality (AR) enables to display situated geographical visualizations, i.e visualizations that use virtual elements that are displayed in a geographical location. The place where the data is displayed complements the visualization. Many applications that take advantage of AR and situated visualizations exist, but they differ in the visualizations they present, their relationship to the geographic locations and goals. To better understand why and how AR based situated geovisualization is used, we review 45 papers coming from Human Computer Interaction, Visualization and Geographical Information Science venues that present such applications. Inspired by existing classifications, we characterize these papers according to the data they visualize and the geographical distance between the visualization and the data the visualization represents. This analysis reveals existing opportunities for situated geovisualization applications using AR.

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Section: Present Datamentioning

confidence: 99%

Section: Scalesmentioning

confidence: 99%

Section: Visualizing 3d Datamentioning

confidence: 99%

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Opportunities and Challenges for Augmented Reality Situated Geographical Visualization

Lobo

Christophe

2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Augmented Reality on location [15] demonstrated for in site visualization as well as fieldwork navigation. This model enables the farmers to track their crop growth.…”

Section: Introductionmentioning

confidence: 99%

An IoT- Enabled Augmented Reality Framework for Plant Disease Detection

Ponnusamy¹,

Natarajan²,

Ramasamy³

et al. 2021

RIA

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Augmented reality system enables effective interaction with field view data and executes a particular task effectively by visual display aid. Precision agriculture involves precision measurement, data generation, analysis for interpretation of data, and decision-making to improve the yield and monitor the plant. Augmented reality will help to systematically acquire the needed data and interpret the required information from the analytical result on the field. This paper presents a low-cost development of the augmented reality system for on-field analysis of plant diseases. The article also presents a framework of deep learningbased cloud data analytic to enable on-field real-time interaction between the farmers and cloud data processing systems using a head-mounted unit. The proposed augmented reality system performance is validated for its accuracy in detecting plant diseases, real-time interaction response time, and ease of usage by the farmer community. The results show that the proposed mechanism will be able to produce real-time augment interaction to the farmer for the task of disease inspection of the plant effectively and accurately.

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“…Selected solutions were investigated in agriculture. For instance, AR visualization was applied to agricultural fieldwork navigation in Zheng and Campbell (2019) [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Augmented Reality in Manual Wiring Production Process with Use of Mobile AR Glasses

Szajna

Stryjski

Woźniak

et al. 2020

Sensors

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Digitalization of production environment, also called Industry 4.0 (the term invented by Wahlster Wolfgang in Germany) is now one of the hottest topics in the computer science departments at universities and companies. One of the most significant topics in this area is augmented reality (AR). The interest in AR has grown especially after the introduction of the Microsoft HoloLens in 2016, which made this technology available for researchers and developers all around the world. It is divided into numerous subtopics and technologies. These wireless, see-through glasses give a very natural human-machine interface, with the possibility to present certain necessary information right in front of the user’s eyes as 3D virtual objects, in parallel with the observation of the real world, and the possibility to communicate with the system by simple gestures and speech. Scientists noted that in-depth studies connected to the effects of AR applications are presently sparse. In the first part of this paper, the authors recall the research from 2019 about the new method of manual wiring support with the AR glasses. In the second part, the study (tests) for this method carried out by the research team is described. The method was applied in the actual production environment with consideration of the actual production process, which is manual wiring of the industrial enclosures (control cabinets). Finally, authors deliberate on conclusions, technology’s imperfections, limitations, and future possible development of the presented solution.

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Location-Based Augmented Reality In-situ Visualization Applied for Agricultural Fieldwork Navigation

Cited by 28 publications

References 19 publications

Opportunities and Challenges for Augmented Reality Situated Geographical Visualization

Opportunities and Challenges for Augmented Reality Situated Geographical Visualization

An IoT- Enabled Augmented Reality Framework for Plant Disease Detection

Assessment of Augmented Reality in Manual Wiring Production Process with Use of Mobile AR Glasses

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