Your Learning Outcomes


  • to identify, to indicate & interpret the principles and aims of precision farming
  • to differentiate between precision farming and smart farming applications
  • to discover and apply the technological requirements of smart farming
  • to decide on the application of appropriate visualization tools and to establish actions in accordance to these results
  • to visualize spatial results for decision support and document the spatial data according to international metadata standards.
  • to use the technologies and know about the data interfaces to create new solutions in “machine to machine”-communication


  • the functionality of existing GNSS tools to determine error corrections in agriculture and select appropriate systems for agriculture machinery
  • the pros and cons about spatial data management
  • the technological principals of variable rate technology and know about the application accuracies to develop concepts for further innovation


  • different technologies and tools offered on the market
  • the potential, benefits and drawback of automated steering systems in agriculture and for precision crop farming


  • about the physical basics of sensors, be able to design sensor concepts for future applications in agriculture and know about the errors which can occur
  • about the principles of geographic information technology and remote sensing
  • to apply the principles of GIS and know how to implement spatial data in a GIS environment
  • to create different kind of maps and document spatial data sets
  • about examples of specific robotic solutions for crop production processes and the potential and drawback in agriculture


  • GIS projects and apply geodata within their field
  • spatial data and have the ability to compare different GIS tools for their own field data for surface calculations and simulations as well to implement GIS data from different sources


  • your own spatial data sets according to GIS standards
  • spatial data from different sources and be able to work with different geometric and thematic layers

Dates and Locations

Es werden 6 geblockte 2-Tageseinheiten von Oktober 2022 bis Februar 2023 abgehalten:

  • 21.10.2022 – 22.10.2022 online, BOKU
  • 4.11.2022 – 5.11.2022 online, BOKU
  • 18.11.2022 – 19.11.2022 online, uniBZ & BOKU
  • 16.12.2022 – 17.12.2022 präsenz, uniBZ (Praxis)
  • 14.1.2023 – 15.1.2023 online, uniBZ
  • Abschlussveranstaltung, noch offen

The course will take place online. Face to face meetings, seminars, excursions and social events in South Tirol (Uni Bozen, NOI Tech Park) and Österreich (BOKU) will be included.