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Intern
    DMIR Research Group

    BigData@Geo

    Big Data in Geography — Advanced Environmental Technologies using AI on the Internet (ERDF)

    General Information

    If you have questions about this project, please contact Konstantin Kobs or Andreas Hotho.

    Abstract

    Environmental changes have a big impact on decisions about the future in urban planning, as well as farming and forestry. Extensive information about the current and future state of the regional environment must be gathered to gain enough insight to make capable decisions on how to handle the changing environmental situation. This information, however, is mostly hard to find or difficult to understand. In this project we are working with various regional small and medium-sized enterprises from areas like viticulture and agriculture to build a web-based platform that gathers the necessary data and visualizes it to allow decision making regarding changing environmental factors. The platform will contain environmental data coming from a regional earth system model, augmented by machine learning based algorithms that process data from cheap sensor boxes that are locally distributed in the areas of interest. Additionally, other information from the internet such as social media content may be used to provide high resolution and reliable predictions of the future environmental development. This way, the cooperating small and medium-sized enterprises can easily access information about the future development of their land and can act accordingly. This project is supported by the European Regional Development Fund (ERDF).

    Partners

    This project is done in cooperation with the chair of Physical Geography. It is conducted by working closely with a number of small and medium enterprises from agri- and silviculture, namely:

    • Ökonomie der Abtei Münsterschwarzach, Schwarzach am Main 
    • Obsthof Zörner, Dettelbach 
    • Mustea Quittenanbau – Biolandhof, Untereisenheim 
    • Main-Streuobst-Bienen e.G., Margetshöchheim 
    • Gartenbau Alfred Hartmann, Mainsondheim 
    • Schloss Gut Obbach, Euerbach-Obbach 
    • Fürstlich Castell’sches Domänenamt, Castell 
    • Forstbetrieb Paul Freiherr von und zu Franckenstein, Ullstadt 
    • Forstbetrieb Fürst zu Löwenstein-Wertheim-Rosenberg, Hafenlohr 
    • Weingut Thomas Schwab und Martin Schwab GBR, Thüngersheim 
    • Weingut Roth, Wiesenbronn 
    • Weingut Wirsching, Iphofen 
    • Weingut Rudolf Fürst, Bürgstadt am Main 
    • Weingut Artur Steinmann, Sommerhausen 
    • Bio-Weingut Schloss Saaleck, Hammelburg

    Information

    Project leaders: Univ.-Prof. Dr. Roland Baumhauer, Prof. Dr. Andreas Hotho, Univ.-Prof. Dr. Heiko Paeth

    Duration: October 2017 – September 2021

    Project website: https://bigdata-at-geo.eu

    Secretary: Sophie-Luise Wollrab

    Events

    • 04.06.2018: Workshop with partners from small and medium enterprises

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    Kontakt

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Tel.: +49 931 31-86731
    Fax: +49 931 31-86732

    Suche Ansprechpartner

    Hubland Süd, Geb. M2
    Hubland Süd, Geb. M2