Visualisation of Big Data in Agriculture
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 13105
Special Issue Editor
Special Issue Information
Dear Colleagues,
It is my pleasure to announce the opening of a new Special Issue in the journal Applied Science entitled “Visualisation of Big Data in Agriculture”. The Issue will focus on leveraging various contemporary existing as well as emerging data sources in both crop and livestock production. Innovative data processing and analysis methods are of particular interest, in addition to the final presentation and visualisation of the synthesised information.
As contemporary data science usually handles various types of data from which the final information is acquired, there is particular interest in manuscripts processing, analysing, and visualising the outputs of several kinds of data sources together, with a definite impact on agriculture.
This Issue expects manuscripts that describe the utilisation of Earth Observation data (both multi and hyperspectral), climatic data, in-situ sensor data (connected to IoT), crowdsourced data, linked data, etc. together with traditional geographic data, stressing the multidimensionality of the data (e.g., the third and temporal dimensions of the data).
Next, each manuscript should describe an application of the data analysis/visualisation in agricultural processes and evaluate its impact, for example, on the optimisation of production or mitigation of environmental impact.
As the Issue looks for innovative methods of applying big data in agriculture, fundamental aspects of big data must be addressed (volume, variety, veracity) in the manuscripts.
I hope you find the Issue topic interesting, and I look forward to your research contributions.
Dr. Karel JedličkaGuest Editor
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Keywords
- big data
- multidimensional data
- data analysis
- data visualization
- data-driven agriculture
- precision farming
- autonomous farming
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