Advanced Visualisation of Big Data for Agriculture as Part of Databio Development

Charvát, Karel; Řezník, Tomáš; Lukas, Vojtěch; Jedlička, Karel; Palma, Raúl; Bērziņš, Raitis

doi:10.1109/igarss.2018.8517556

Cited by 24 publications

(26 citation statements)

References 11 publications

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“…3D visualizations are being increasingly used in a number of applied areas for data visualization. Since these visualizations allow three-dimensional perception of graphical content, they are considered a promising tool for a range of applications in geo-sciences, for example, teaching geography and cartography [1][2][3][4][5], urban planning [6][7][8], crisis management [9][10][11][12], precision agriculture [13], visibility analysis [14], virtual tourism [15], navigation in built-up areas [16,17], indoor navigation [18,19] and others. Different forms of 3D visualization may encourage different types of human behavioural and cognitive responses, i.e.…”

Section: Introductionmentioning

confidence: 99%

The 3D hype: Evaluating the potential of real 3D visualization in geo-related applications

et al. 2020

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The use of 3D visualization technologies has increased rapidly in many applied fields, including geovisualization, and has been researched from many different perspectives. However, the findings for the benefits of 3D visualization, especially in stereoscopic 3D forms, remain inconclusive and disputed. Stereoscopic "real" 3D visualization was proposed as encouraging the visual perception of shapes and volume of displayed content yet criticised as problematic and limited in a number of ways, particularly in visual discomfort and increased response time in tasks. In order to assess the potential of real 3D visualization for geo-applications, 91 participants were engaged in this study to work with digital terrain models in different 3D settings. The researchers examined the effectivity of stereoscopic real 3D visualization compared to monoscopic 3D (or pseudo 3D) visualization under static and interactive conditions and applied three tasks with experimental stimuli representing different geo-related phenomena, i.e. objects in the terrain, flat areas marked in the terrain and terrain elevation profiles. The authors explored the significant effects of real 3D visualization and interactivity factors in terms of response time and correctness. Researchers observed that the option to interact (t =-10.849, p < 0.001) with a virtual terrain and its depiction with real 3D visualization (t = 4.64, p < 0.001) extended the participants' response times. Counterintuitively, the data demonstrated that the static condition increased response correctness (z = 5.38, p < 0.001). Regarding detailed analysis of data, an interactivity factor was proposed as a potential substitute for real 3D visualization in 3D geographical tasks.

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Section: Introductionmentioning

confidence: 99%

The 3D hype: Evaluating the potential of real 3D visualization in geo-related applications

et al. 2020

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“…The functional requirements were as follows, these originating from (1) Section 2 , (2) exploratory analysis of trajectories within and beyond the reference farm [ 12 , 13 , 29 , 30 ], and (3) consultations with agronomists at Rostěnice Farm for the development of an optimized (modeled) farm machinery trajectory that is applicable to plant production on the fields:…”

Section: Methodsmentioning

confidence: 99%

“…In addition, reducing the requirements for water for irrigation, fertilizer, and pest control helps to minimize adverse effects on the environment such as soil compaction [ 9 ] or/and erosion [ 7 , 10 ]. Plot identification was defined by Reznik et al [ 11 ], while the visualization of farm trajectories was presented by Reznik et al [ 12 ] and Charvat et al [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm

Řezník

Heřman

Klocová

et al. 2021

Sensors

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Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rostěnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.

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“…Finally, the model reuses data types defined in ISO standards (ISO 19101, ISO/TS 19103, ISO 8601 and ISO 19115) as well standardisation efforts published under the INSPIRE directive (like structure of unique identifiers). The FOODIE data model was specified in UML (as the INSPIRE models) but can be transformed into an OWL ontology in order to enable the publication of linked data compliant with FOODIE data model [12].…”

Section: Linked Data Visualisationmentioning

confidence: 99%

“…13. 6 Integration of yield potential data (3D maps) with meteorological data (time series) [11][12][13] Layer manager is used for listing all the map layers, displaying or hiding them and setting the transparency.…”

Section: Complex Integrated Data Visualisationmentioning

confidence: 99%

Big Data Visualisation

Esbrí

Klien

Charvát

et al. 2021

Big Data in Bioeconomy

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In this chapter, we introduce the topic of big data visualization with a focus on the challenges related to geospatial data. We present several efficient techniques to address these challenges. We then provide examples from the DataBio project of visualisation solutions. These examples show that there are many technologies and software components available for big data visualisation, but they also point to limitations and the need for further research and development.

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Advanced Visualisation of Big Data for Agriculture as Part of Databio Development

Cited by 24 publications

References 11 publications

The 3D hype: Evaluating the potential of real 3D visualization in geo-related applications

The 3D hype: Evaluating the potential of real 3D visualization in geo-related applications

Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm

Big Data Visualisation

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