A large proportion of the scientific basis of agricultural engineering is still available today exclusively in analog form.
Only a digitalization can preserve this knowledge from a possible final loss for the future.
With the AgTecCollection, a successful project was generated that
comprehensively documents the development of agricultural technology.
The metadata now available as Big Data opens up a wide range of new
possibilities.
First and foremost, digital twins could be used to quickly and easily adapt the available digital knowledge to regional requirements.
«A large proportion of the scientific basis of agricultural engineering is still available today exclusively in analog form.
Only a digitalization can preserve this knowledge from a possible final loss for the future.
With the AgTecCollection, a successful project was generated that
comprehensively documents the development of agricultural technology.
The metadata now available as Big Data opens up a wide range of new
possibilities.
First and foremost, digital twins could be used to quickly...
»