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Educational needs and perceptions of the sustainability of precision agriculture: survey evidence from Greece

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Abstract

Precision agriculture (PA) constitutes a dynamic production method which is gaining attention in several parts of the world. Its environmental and economic sustainability has been examined in terms of its ability to reduce the adverse effects of agrochemical use—by regulating their application to the levels needed at the land parcel level—and of its contribution to higher incomes and profitability. At the social level, PA has been linked to collective action although little insight is available regarding the role of various actors and education. This study tackles PA through an assessment of the attitudes of farmers towards the elements of its sustainability and of their educational needs. The analysis of survey data of a sample of young farmers in Greece showed that the majority of respondents were not familiar with PA. Significant differences were found between the attitudes of knowledgeable and non-knowledgeable farmers, the former demonstrating better acknowledgement of the environmental, economic and social sustainability of PA. Important educational needs were also detected, with group and individual methods being the most preferred ones for education and information campaigns. The results of the analysis could be of use for the design of Common Agricultural Policy Pillar II measures for the promotion of PA targeting to specific audiences and actors.

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References

  • Adrian, A. M., Norwood, S. H., & Mask, P. L. (2005). Producers’ perceptions and attitudes toward precision agriculture technologies. Computers and Electronics in Agriculture, 48(3), 256–271.

    Article  Google Scholar 

  • 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(1), 510–520.

    Article  Google Scholar 

  • Bongiovanni, R., & Lowenberg-Deboer, J. (2004). Precision agriculture and sustainability. Precision Agriculture, 5, 359.

    Article  Google Scholar 

  • Boone, H. N., & Boone, D. A. (2012). Analyzing Likert data. Journal of Extension, 50(2), nr. 2TOT2.

  • Bournaris, T., Manos, B., Vlachopoulou, M., & Manthou, V. (2011). E-government and farm management agricultural services in Greece. International Journal of Business Innovation and Research, 5(4), 325–337.

    Article  Google Scholar 

  • Brown, N. R., & Kelsey, K. D. (2013). Sidewalks and city streets: A model for vibrant agricultural education in urban American communities. Journal of Agricultural Education, 54(2), 57–69.

    Article  Google Scholar 

  • Directorate General for Internal Policies (2014). Precision Agriculture: An Opportunity for EU Farmers—Potential Support with the CAP 2014–2020. European Union.

  • Fountas, S. (1998). Market research of the views and perceptions of farmers about the role of crop management within Precision Farming. MSc Thesis, Cranfield University, Cranfield.

  • Fountas, S., Aggelopoulou, K., & Gemtos, T. (2016). Precision agriculture: crop management for improved productivity 1 and reduced environmental impact or improved sustainability. In E. Iakovou, D. Bochtis, D. Vlachos & D. Aidonis (Eds) Supply chain management for sustainable food networks (pp. 41–66). Wiley. doi:10.1002/9781118937495.

  • Gemtos, T. A., Fountas, S., Blackmore, S., & Greipentrog, H. W. (2002). Precision farming experience in Europe and the Greek potential. In HAICTA, Athens.

  • Gemtos, T. A., Fountas, S., Markinos, A., Aggelopoulou, A., & Chatzinikos, A. (2006). Innovative applications of informatics in agriculture and rural environment. In Application and perspectives of precision agriculture in Greece. Scientific papers of EPEGE, N. Greece, Thessaloniki (pp. 41–51).

  • Heiniger, R. W., Havlin, J. L., Crouse, D. A., Kvien, C., & Knowles, T. (2002). Seeing is believing: The role of field days and tours in precision agriculture education. Precision Agriculture, 3(4), 309–318.

    Article  Google Scholar 

  • http://www.farms.com/precision-agriculture/economics/

  • Intarapapong, W., Hite, D., & Reinschmiedt, L. (2003). Water quality impacts of conservation agricultural practices in the Mississippi Delta. Journal of the American Water Resources Association, 38(2), 507–515.

    Article  Google Scholar 

  • Kitchen, N. R. (2007). Emerging technologies for real-time and integrated agriculture decisions. Computers and Electronics in Agriculture, 61(1), 1–3.

    Article  Google Scholar 

  • Kitchen, N. R., Snyder, C. J., Franzen, D. W., & Wiebold, W. J. (2002). Educational needs of precision agriculture. Precision Agriculture, 3(4), 341–351.

    Article  Google Scholar 

  • Kountios, G. (2014). Precision agriculture and information and communication technologies: Investigation of educational needs of young farmers in Central Macedonia. PhD Thesis, Aristotle University of Thessaloniki, Greece.

  • Kountios, G., Michailidis, A., & Papadaki-klavdianou, A. (2011). Educational needs of young farmers in information and communication technologies. In The economies of Balkan and Eastern Europe countries in the changed world (p. 140).

  • McBratney, A., Whelan, B., Ancev, T., & Bouma, J. (2005). Future directions of precision agriculture. Precision Agriculture, 6(1), 7–23.

    Article  Google Scholar 

  • Michailidis, A., Samathrakis, V., Chatzitheodoridis, F., & Loizou, E. (2010). Adoption–diffusion of precision agriculture: Comparative analysis among the Greek regions. In M. Arabatzis, et al. (Eds), Innovative applications of information technology in the agricultural sector and the environment, 3rd volume of scientific papers of the Hellenic Association for Information and Communication Technologies in Agriculture Food and Environment (HAICTA), Branch of Northern and Central Greece (pp. 123–138) (in Greek).

  • National Research Council. (1997). Precision agriculture in the 21st century. Washington, DC, USA: National Academy Press.

    Google Scholar 

  • Papadavid, G., Hadjimitsis, D. G., Perdikou, S., Michaelides, S., Toulios, L., & Seraphides, N. (2011). Use of field spectroscopy for exploring the impact of atmospheric effects on Landsat 5 TM/7 ETM+ satellite images intended for hydrological purposes in Cyprus. GIScience and Remote Sensing, 48(2), 280–298.

    Article  Google Scholar 

  • Robertson, M., Carberry, P., & Brennan, L. (2007). The economic benefits of precision agriculture: Case studies from Australian grain farms. Commonwealth Scientific and Industrial Research Organisation. Retrieved October 25, 2016, from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.528.5526&rep=rep1&type=pdf.

  • Rogers, E. (1995). The diffusion of innovations (5th ed.). New York: Free Press.

    Google Scholar 

  • Sawyer, J. (1994). Concepts of variable rate technology with considerations for fertilizer applications. Journal of Production Agriculture, 7(2), 195–201.

    Article  Google Scholar 

  • Siardos, G. (2005). Multivariate statistical analysis, 2 (3rd ed.). Athens: Stamoulis.

  • Smith, C. M., Dhuyvetter, K. C., Kastens, T. L., Kastens, D. L., & Smith, L. M. (2013). Economics of precision agricultural technologies across the Great Plains. Journal of the ASFMRA, 185–206. http://purl.umn.edu/161496.

  • SPSS. (2002). SPSS categories 11.5. A software package, version 11.0. Chicago: SPSS, Inc.

    Google Scholar 

  • SPSS. (2008). SPSS base 17. User guide. Chicago: SPSS, Inc.

    Google Scholar 

  • Tweeten, L. (1996). Is precision farming good for society? Better Crops, 80(3), 1–5.

    Google Scholar 

  • Whitley, K. M., Davenport, J. R., & Manley, S. R. (2000). Difference in nitrate leaching under variable and conventional nitrogen fertilizer management in irrigated potato systems. In Proceedings of fifth international conference on precision agriculture (CD), July 16/19, 2000, Bloomington, MN, USA.

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

    Article  Google Scholar 

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Correspondence to Athanasios Ragkos.

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Kountios, G., Ragkos, A., Bournaris, T. et al. Educational needs and perceptions of the sustainability of precision agriculture: survey evidence from Greece. Precision Agric 19, 537–554 (2018). https://doi.org/10.1007/s11119-017-9537-2

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  • DOI: https://doi.org/10.1007/s11119-017-9537-2

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