Innovation mechanisms in German precision farming

Innovation mechanisms in German precision farming In the precision farming (PF) literature on innovation activities, it becomes apparent that only individual aspects of the entire PF innovation process chain are considered, namely, the knowledge transfer and the adoption of PF applications. Therefore, this study seeks to analyze the innovation mechanisms in the entire PF innovation process chain. The paper identifies potentials, barriers and challenges for PF innovations in Germany and the respective agricultural subsector plant production. An in-depth understanding of innovation mechanisms is required to enhance innovation capabilities, overcome obstacles and bring further innovations to the agricultural field. A mix of qualitative and quantitative methods was applied—including interviews, an expert workshop and a Delphi survey—to explore innovation mechanisms and the role of heterogeneous actors. The research is based on the analytical framework of the sectoral innovation system approach. Key results are the identification of barriers in the later stages of the innovation processes (including validation, serial production and adoption), a gap in the knowledge transfer between science and practice, insufficient communication and co-operation between actors and the important influence of political and legal conditions. Furthermore, this study showed that farmers play an important role in the generation of innovations. For example, farmers are not only adopters or demanders but also impulse providers or co-developers. In conclusion, this study moves the PF innovation debate forward not only by providing adoption facts but also by presenting explanations for the complex interactions between actors throughout the innovation process chain. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Innovation mechanisms in German precision farming

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Publisher
Springer US
Copyright
Copyright © 2013 by Springer Science+Business Media New York
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-013-9337-2
Publisher site
See Article on Publisher Site

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