The empirical data was collected as a result of 30 interviews (formally interventions) targeting tractor operators and farm managers answering questions on the optimal use of farm machinery data as indicators for tractor and implement performance. Specific questions involved specifications on current machinery, current information acquisition on machines, external actors interacting with the machines, experienced problems and issues with the information management on the machines, and potential improvements. The analysis progressed beyond current technologies in FMMIS to also include the future use of autonomous vehicles both embodied as current large sized machines as well as potential small sized vehicles. The interviews were carried out in Denmark and Greece in the autumn of 2012. Respondents were selected from typical agricultural regions in Denmark and Greece representing agricultural practices with state-of-the-art machinery. Denmark is at the front in terms of technological innovations in agriculture (Pedersen et al., 2003 and Jensen et al., 2012), while Greece is lagging and therefore a more holistic view has been captured (Lawson et al., 2011).