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Adoption of precision agriculture technologies by German crop farmers

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Abstract

In recent years, precision farming has been receiving more attention from researchers. Precision farming, which provides a holistic system approach, helps farmers to manage the spatial and temporal crop and soil variability within a field in order to increase profitability, optimize yield and quality, and reduce costs. There has been considerable research in farmers’ adoption of precision agriculture technologies. However, most recent studies have considered only a few aspects, whereas in this study a wide range of farm characteristics and farmer demographics are tested to gain insight into the relevant aspects of adoption of precision farming in German crop farming. The results of a logistic regression analysis show that predictors with positive influence on the adoption of precision farming are agricultural contractor services such as an additional farming business, having under 5 years’ experience in crop farming, having between 16 and 20 years’ experience in crop farming, and having more than 500 ha of arable land. However, having a farm of less than 100 ha and producing barley are factors that exert a negative influence on the adoption of precision farming. The results of this study provide manifold starting points for the further proliferation of precision agriculture technologies and future research directions.

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References

  • Aubert, B. A., Schroeder, A., & Grimaudo, J. (2012). IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decision Support Systems, 54, 510–520.

    Article  Google Scholar 

  • Auernhammer, H. (2001). Precision farming: The environmental challenge. Computers and Electronics in Agriculture, 30, 31–43.

    Article  Google Scholar 

  • Backhaus, K., Erichson, B., Plinke, W., & Weiber, R. (2011). Multivariate analysemethoden: Eine anwendungsorientierte einführung [Multivariate analysis methods: A application-oriented introduction] (13th ed.). Heidelberg: Springer.

    Google Scholar 

  • Batte, M. T., & Arnholt, M. W. (2003). Precision farming adoption and use in Ohio: Case studies of six leading-edge adopters. Computers and Electronics in Agriculture, 38, 125–139.

    Article  Google Scholar 

  • Bramley, R. G. V. (2009). Lessons from nearly 20 years of precision agriculture research, development, and adoption as a guide to its appropriate application. Crop and Pasture Science, 60, 197–217.

    Article  Google Scholar 

  • Busse, M., Doernberg, A., Siebert, R., Kuntosch, A., Schwerdtner, W., König, B., et al. (2014). Innovation mechanisms in German precision farming. Precision Agriculture, 15, 403–426.

    Article  Google Scholar 

  • Clasen, M. (2016). Farming 4.0 und andere anwendungen des internet der dinge. In Ruckelshausen, A. et al. (Eds.), Proceedings of GIL annual meeting 2016. Informatik in der Land-, Forst- und Ernährungswirtschaft. Fokus: Intelligente Systeme—Stand der Technik und neue Möglichkei-ten (pp. 15–18). Bonn: Koellen.

  • Cox, S. (2002). Information technology: The global key to precision agriculture and sustainability. Computers and Electronics in Agriculture, 36, 93–111.

    Article  Google Scholar 

  • Daberkow, S. G., & McBride, W. D. (2003). Farm and operator characteristics affecting the awareness and adoption of precision agriculture technologies in the US. Precision Agriculture, 4, 163–177.

    Article  Google Scholar 

  • Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.

    Google Scholar 

  • Forschungsgruppe Wahlen. (2014). Internet-Strukturdaten IV. Quartal 2013. Retrieved November 30, 2015 from http://www.bvdw.org/medien/forschungsgruppe-wahlen-internet-strukturdaten-iv-quartal-2013?media=5465

  • Fountas, S., Blackmore, S., Ess, D., Hawkins, S., Blumhoff, G., Lowenberg-De Boer, J., et al. (2005). Farmers experience with precision agriculture in Denmark and the US eastern corn belt. Precision Agriculture, 6, 121–141.

    Article  Google Scholar 

  • Jensen, H. G., Jacobsen, L.-B., Pedersen, S. M., & Tavella, E. (2012). Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark. Precision Agriculture, 13, 661–677.

    Article  Google Scholar 

  • Khanna, M. (2001). Sequential adoption of site-specific technologies and its implications for nitrogen productivity: A double selectivity model. American Journal of Agricultural Economics, 83(1), 35–51.

    Article  Google Scholar 

  • Kitchen, N. R., Snyder, C. J., Franzen, D. W., & Wiebold, W. J. (2002). Educational needs of precision agriculture. Precision Agriculture, 3, 341–351.

    Article  Google Scholar 

  • König, B., Kuntosch, A., Bokelmann, W., Doernberg, A., Schwerdtner, W., Busse, M., et al. (2012). Nachhaltige innovationen in der landwirtschaft: Komplexe herausforderungen im innovationssystem [Sustainable innovation in agriculture: Complex challenges in the innovation system]. Vierteljahreshefte zur Wirtschaftsforschung, 81(4), 71–92. doi:10.3790/vjh.81.4.71.

    Article  Google Scholar 

  • Kröger, R., Konerding, J. R., & Theuvsen, L. (2016). Identifikation von Einflussfaktoren auf die Nutzung von Güllefeststoffen als Gärsubstrat in Biogasanlagen [Identification of factors that influence the use of manure solids as a fermentation substrate in biogas plants]. German Journal of Agricultural Economics, 65, 112–131.

    Google Scholar 

  • Kutter, T., Tiemann, S., Siebert, R., & Fountas, S. (2011). The role of communication and co-operation in the adoption of precision farming. Precision Agriculture, 12, 2–17.

    Article  Google Scholar 

  • Lambert, D. M., English, B. C., Harper, D. C., Larkin, S. L., Larson, J. A., Mooney, D. F., et al. (2014). Adoption and frequency of precision soil testing in cotton production. Journal of Agricultural and Resource Economics, 39(1), 106–123.

    Google Scholar 

  • Larson, J. A., Roberts, R. K., English, B. C., Larkin, S. L., Marra, M. C., Martin, S. W., et al. (2008). Factors affecting farmer adoption of remotely sensed imagery for precision management in cotton production. Precision Agriculture, 9, 195–208.

    Article  Google Scholar 

  • Lencsés, E., Takács, I., & Takács-György, K. (2014). Farmers’ perception of precision farming technology among Hungarian farmers. Sustainability, 6, 8452–8465. doi:10.3390/su6128452.

    Article  Google Scholar 

  • Mackrell, D., Kerr, L., & Von Hellens, A. (2009). A qualitative case study of the adoption and use of an agricultural decision support system in the Australian cotton industry: The socio-technical view. Decision Support Systems, 47, 143–153.

    Article  Google Scholar 

  • McBratney, A., Whelan, B., Ancev, T., & Bouma, J. (2005). Future directions of precision agriculture. Precision Agriculture, 6, 7–23.

    Article  Google Scholar 

  • McBride, W. D., & Daberkow, S. G. (2003). Information and the adoption of precision farming technologies. Journal of Agribusiness, 21(1), 21–38.

    Google Scholar 

  • Pierpaoli, E., Carli, G., Pignatti, E., & Canavari, M. (2013). Drivers of precision agriculture technologies adoption: A literature review. Procedia Technology, 8, 61–69.

    Article  Google Scholar 

  • Reichardt, M., & Jürgens, C. (2009). Adoption and future perspective of precision farming in Germany: Results of several surveys among different agricultural target groups. Precision Agriculture, 10, 73–94.

    Article  Google Scholar 

  • Reichardt, M., Jürgens, C., Klöble, U., Hüter, J., & Moser, K. (2009). Dissemination of precision farming in Germany: Acceptance, adoption, obstacles, knowledge transfer and training activities. Precision Agriculture, 10, 525–545.

    Article  Google Scholar 

  • Roberts, R. K., English, B. C., Larson, J. A., Cochran, W. R., Goodman, W. R., Larkin, S. L., et al. (2004). Adoption of site-specific information and variable-rate technologies in cotton precision farming. Journal of Agricultural and Applied Economics, 36(1), 143–158.

    Article  Google Scholar 

  • Robertson, M., Carberry, P., & Brennan, L. (2009). Economic benefits of variable rate technology: Case studies from Australian grain farms. Crop and Pasture Science, 60, 799–807.

    Article  Google Scholar 

  • Schoengold, K., & Sunding, D. L. (2014). The impact of water price uncertainty on the adoption of precision irrigation systems. Agricultural Economics, 45, 729–743.

    Article  Google Scholar 

  • Stafford, J. V. (2000). Implementing precision agriculture in the 21st century. Journal of Agricultural Engineering Research, 76(3), 267–275.

    Article  Google Scholar 

  • Tey, Y. S., & Brindal, M. (2012). Factors influencing the adoption of precision agricultural technologies: A review for policy implications. Precision Agriculture, 13, 713–730.

    Article  Google Scholar 

  • Tey, Y. S., Li, E., Bruwer, J., Abdullah, A. M., Brindal, M., Radam, A., et al. (2014). The relative importance of factors influencing the adoption of sustainable agricultural practices: A factor approach for Malaysian vegetable farmers. Sustainability Science, 9(1), 17–29.

    Article  Google Scholar 

  • Torbett, J. C., Roberts, R. K., Larson, J. A., & English, B. C. (2007). Perceived importance of precision farming technologies in improving phosphorus and potassium efficiency in cotton production. Precision Agriculture, 8, 127–137.

    Article  Google Scholar 

  • Walton, J. C., Lambert, D. M., Roberts, R. K., Larson, J. A., English, B. C., & Larkin, B. C. (2008). Adoption and abandonment of precision soil sampling in cotton production. Journal of Agricultural and Resource Economics, 33(3), 428–448.

    Google Scholar 

  • Zhang, N., Wang, M., & Wang, N. (2002). Precision agriculture: A worldwide overview. Computers and Electronics in Agriculture, 36(2–3), 113–132.

    Article  Google Scholar 

Download references

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Correspondence to Margit Paustian.

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Paustian, M., Theuvsen, L. Adoption of precision agriculture technologies by German crop farmers. Precision Agric 18, 701–716 (2017). https://doi.org/10.1007/s11119-016-9482-5

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