Special Issue "Visualisation of Big Data in Agriculture"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences and Geography".

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editor

Dr. Karel Jedlička
Website
Guest Editor
University of West Bohemia, Plan4all association, Czech Republic
Interests: Geographic Information System (GIS); multidimensional data modelling and visualization; climatic and Earth Observation data analysis for agricultural applications

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 Jedlička
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data
  • multidimensional data
  • data analysis
  • data visualization
  • data-driven agriculture
  • precision farming
  • autonomous farming

Published Papers (1 paper)

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Research

Open AccessArticle
Climate-Smart Agro-Hydrological Model for a Large Scale Rice Irrigation Scheme in Malaysia
Appl. Sci. 2020, 10(11), 3906; https://doi.org/10.3390/app10113906 - 04 Jun 2020
Abstract
Agro-hydrological water management frameworks help to integrate expected planned management and expedite regulation of water allocation for agricultural production. Low production is not only due to the variability of available water during crop growing seasons, but also poor water management decisions. The Tanjung [...] Read more.
Agro-hydrological water management frameworks help to integrate expected planned management and expedite regulation of water allocation for agricultural production. Low production is not only due to the variability of available water during crop growing seasons, but also poor water management decisions. The Tanjung Karang Rice Irrigation Scheme in Malaysia has yet to model agro-hydrological systems for effective water distribution under climate change impacts. A climate-smart agro-hydrological model was developed using Excel-based Visual Basic for Applications (VBA) for adaptive irrigation and wise water resource management towards water security under new climate change realities. Daily climate variables for baseline (1976–2005) and future (2010–2099) periods were extracted from 10 global climate models (GCMs) under three Representative Concentration Pathway scenarios (RCP4.5, RCP6.0, and RCP8.5). The projected available water for supply to the scheme would noticeably decrease during the dry season. The water demand in the scheme will differ greatly during the months in future dry seasons, and the increase in effective rainfall during the wet season will compensate for the high dry season water demand. No irrigation will therefore be needed in the months of May and June. In order to improve water distribution, simulated flows from the model could be incorporated with appropriate cropping patterns. Full article
(This article belongs to the Special Issue Visualisation of Big Data in Agriculture)
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