@inproceedings{BethgeMaehlmannWinkelmannetal.2023,
  author    = {Hans Bethge and Thomas M{\"a}hlmann and Traud Winkelmann and Thomas Rath},
  title     = {Remote plant sensing and phenotyping – an e-learning tool in higher education},
  series = {Informatik in der Land-, Forst- und Ern{\"a}hrungswirtschaft Fokus: Resiliente Agri-Food-Systeme},
  isbn      = {978-3-88579-724-1},
  pages     = {29 -- 40},
  year      = {2023},
  abstract  = {Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabr{\"u}ck over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.},
  language  = {en}
}