agriProKnow - Prozessbezogenes Informationsmanagement in Precision Dairy Farming

Translated title of the contribution: agriProKnow - Process-oriented Information Management in Precision Dairy Farming

Martin Wischenbart, Dana Tomic, Michael Iwersen, Michael Schrefl, Valentin Sturm

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Despite the increasing use of precision dairy farming technologies, various challenges remain, concerning the integration and analysis of recorded data to create operational benefits for farmers and other stakeholders. To alleviate these problems, the project agriProKnow aims to develop a decision support platform, which allows the collection, integration, and analysis of data from distinct sources on different farms. It aims to create new process knowledge and recommendations by exploiting a combination of data mining and semantic data warehouse analysis in a structured manner. This publication gives an overview of current developments and results after the first year of the project.
Translated title of the contributionagriProKnow - Process-oriented Information Management in Precision Dairy Farming
Original languageGerman (Austria)
Title of host publicationProceedings der 13. Tagung Bau, Technik und Umwelt in der landwirtschaftlichen Nutztierhaltung (BTU-Tagung 2017), 18.-20.09.2017, Stuttgart, Deutschland
Number of pages6
Publication statusPublished - Sept 2017

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 102033 Data mining
  • 502050 Business informatics
  • 503008 E-learning

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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