Skip to main content

Perceptions and Attitudes of Greek Farmers Towards Adopting Precision Agriculture: Case Study Region of Central Greece

  • Chapter
  • First Online:
Multicriteria Analysis in Agriculture

Abstract

Modern scientific community after years of intensification of agricultural resources (soil, water, etc.) management, and with the actual risk of their depletion or degradation, is called to redefine standard agricultural practices with an environmentally friendly approach, focusing on their preservation, their enrichment and perpetuity of their yields. Also the nutritional stakes and environmental threats are high, brought about by the continuous growth of the world population which is expected to reach 10 billion in 2050 compared to 7.1 in 2013. In this context, the present study explores to what extent those directly involved, the crop producers, perceive the necessity of sustainable management of agricultural resources through the emerging practice of Precision Agriculture regarding the management of smaller parts of the fields according to the needs of each of them, while reducing inputs. This research aims to examine the concepts of crop producers regarding the prospects that arise through the adoption of Precision Agriculture in Greece, a country with problematic primary sector, with particular climatic conditions and varied micro-climates while compete countries of low labour costs. The methodological approach is based on field research using questionnaires concerning a representative sample of crop producers in the Region of Central Greece. The choice of variables assessed as necessary for the adoption of the Precision Agriculture techniques by the producers, was based on empirical observations, as well as the use of literature sources. Then, an exploratory factor analysis is carried out on parameters that are considered necessary by producers to adopt new technologies and how they perceive the successive situation that will be shaped by the new digital revolution in agricultural practice. Finally, the possibility of restarting primary production is being discussed, now that, due to the economic recession, many young people more familiar with technology are returning to the province and undertake to cultivate the land in the absence of any other employment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    According to the current EUROSTAT classification, NUTS 2 is referring to the basic regions for the application of regional policies.

  2. 2.

    Ibid.

  3. 3.

    The ā€œspatial householdā€: ā€œ... expresses as a concept the relationships that a group of people, with family or other social ties, exploits and develops through the distribution of the agricultural land they own, either in the form of renting or direct exploitation, within the framework of the organization and operation of an agricultural business. At the same time it expresses: 1) the geographical distribution and spatial position of members who participate with land and/or labor and capital in the organization and operation of a farm holding, 2) the size of the land under control, and 3) the organization produced and managed by the coordinating agricultural family within the spatial household with the aim of regulating land and labor relationsā€ (Anthopoulou and Goussios 2007).

References

  • Anthopoulou, T., & Goussios, D. (2007). Rural geography. In T. Terkenlis, T. Iosifidis, I. Chorianopoulos, & Ī™. Ī§Ļ‰ĻĪ¹Ī±Ī½ĻŒĻ€ĪæĻ…Ī»ĪæĻ‚ (Eds.), Anthropography (pp. 234ā€“274). Athens: Kritiki AE.

    Google ScholarĀ 

  • Auernhammer, H. (2001). Precision farmingā€”the environmental challenge. Computing Electronic Agriculture, 31, 43ā€“30.

    Google ScholarĀ 

  • Chalkos, G. (2013). Economy and environment, methods of valuation and management. Athens: Publications Liberal Books.

    Google ScholarĀ 

  • Chen, C., Pan, J., & Lam, S. K. (2014). A review of precision fertilization research. Environmental Earth Sciences, 71, 4073ā€“4080. Berlin: Springer.

    ArticleĀ  Google ScholarĀ 

  • Cronbach, L. J., & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391ā€“418. https://doi.org/10.1177/0013164404266386.

    ArticleĀ  Google ScholarĀ 

  • Duquenne, M. N. (2016). Course notes spatial analysis of Masterā€™s studies program in ā€œSpatial Analysis and Environmental managementā€.

    Google ScholarĀ 

  • European Parliament Department B Structural and Cohesion Policies. (2014). Study: ā€œPrecision Agriculture An Opportunity For EU Farmers- Potential Support with the CAP 2014ā€“2020ā€. Brussels: European Parliament. Retrieved from http://www.europarl.europa.eu/studies

  • EUROSTAT. (2014). Rural Development Report 2014. http://ec.europa.eu/atwork/synthesis/aar/doc/agri_aar_2014.pdf

  • FAO. (2010, November 3ā€“5). Report of International Scientific Symposium on Biodiversity and Sustainable Diets, Rome.

    Google ScholarĀ 

  • Fountas, S., & Gemtos, T. (2015). Precision agriculture. Athens: Publications Hellenic Academic EBooks SEAB.

    BookĀ  Google ScholarĀ 

  • Gebbers, R., & Adamchuk, V. I. (2010). Precision agriculture and food security. Science, 327(5967), 828ā€“831. https://doi.org/10.1126/science.1183899.Chemical Sciences. ISSN: 0975-8585.

    ArticleĀ  Google ScholarĀ 

  • Geiger, F., Bengtsson, J., Berendese, F., et al. (2010). Persistent negative effects of pesticides on biodiversity and biological control potential on European farmland. Basic and Applied Ecology, 11(2), 97ā€“105.

    ArticleĀ  Google ScholarĀ 

  • Gerakis, P. A., Veresoglou, D. S., & Kalmpourtzi, K. L. (2008). Sustainable development of agricultural resources. Thessaloniki: Modern Education Publications.

    Google ScholarĀ 

  • Goussios, D., & Duquenne, M. N. (2003). Lā€™exploitation agricole a` distance en Grece: mobilite, pluriactivite et ruralisation (Note). In Mediterranee, tome 100, 1-2-2003. Recherches recentes en geographie aixoise. pp. 45ā€“48.

    ArticleĀ  Google ScholarĀ 

  • Headley, C. (2014). The role of precision agriculture for improved nutrient management on farms. Journal of the Science of Food and Agriculture, 95, 12ā€“19.

    ArticleĀ  Google ScholarĀ 

  • Hellenic Statistical Authority (ELSTAT). (2014). Census of Agriculture and Livestock 2009 ā€“ Structure survey of agricultural and livestock farms of Greece ā€“ Single format of metadata-SIMS2014. Retrieved from http://www.statistics.gr/documents/20181/fea9f1cd-1a70-4c09-b135-95a42fe5841c

  • Hogan, T. P., & Cannon, B. (2007). Psychological testing: A practical introduction (2nd ed.). Hoboken, NJ: Wiley. ISBN 978-0-471-73807-7.

    Google ScholarĀ 

  • International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD). (2009). Agriculture at a crossroads. In B. Mclntyre, H. R. Herren, J. Wakhungu, & R. T. Watson (Eds.), Synthesis report. Washington, DC: Island Press.

    Google ScholarĀ 

  • Katter, T., Tiemann, S., Siebert, R., & Fountas, S. (2009). The role of communication and co-operation in the adoption of precision farming. Precision Agriculture. https://doi.org/10.1007/s11119-009-9150-0

  • Kountios, G. (2014). Precision agriculture and information and communication technologies: Research of young farmers educational needs in Central Macedonia. PhD Thesis, Aristotle University of Thessaloniki. Retrieved from www.didaktorika.gr/eadd/handle/10442/40246

  • Kountios, G., Ragkos, A., Bournaris, T., Papadavid, G., & Michailidis, A. (2017). Educational needs and perceptions of the sustainability of Precision Agriculture: Survey evidence from Greece. Precision Agriculture. https://doi.org/10.1007/s11119-017-9537-2

  • Kurth, T., Gocke, A., Wagner, K., & Corsini, L. (2015). Crop Farming 2030. The reinvention of the sector. USA: Boston Consulting Group.

    Google ScholarĀ 

  • Lawson, L. G., Pedersen, S. M., Sorensen, C. G., Pesonen, L., Fountas, S., Werner, A., Oudshoorn, F. W., Herold, L., Chatzinikos, T., Kirketerp, I. M., & Blackmore, S. (2011). A four nation survey of farm information management and advanced farming systems: A descriptive analysis of survey responses. Computers and Electronics in Agriculture, 77, 7ā€“20.

    ArticleĀ  Google ScholarĀ 

  • Lei, P.-W., & Wu, Q. (2007). CTTITEM: SAS macro and SPSS syntax for classical item analysis. Behaviour Research Methods, 39(3), 527ā€“530. https://doi.org/10.3758/BF03193021. PMID 17958163.

    ArticleĀ  Google ScholarĀ 

  • Michailidis, A., Samathrakis, B., Xatzitheodoridis, F., & Loizou, E. (2010). Adoption-diffusion of precision agriculture: Comparative analysis among the Greek regions. In M. Arambatzis, et al. (Eds.), Innovative applications of information technology in the agricultural sector and the environment (pp. 123ā€“138). 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, Thessaloniki.

    Google ScholarĀ 

  • Mourtzinis, S., Fountas, S., & Gemtos, T. (2007). Perspective of Greek farmers for precision agriculture (Vol. 185, pp. 850ā€“857). Proceedings of the 5th National Congress of Agricultural Engineering.

    Google ScholarĀ 

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

    Google ScholarĀ 

  • Oliver, M. (2013). An overview of precision agriculture. In M. Oliver, T. Bishop, & B. Marchant (Eds.), Precision Agriculture for sustainability and environmental protection (pp. 3ā€“12). Abingdon: Routledge.

    Google ScholarĀ 

  • Pannell, D. J., Marshall, G. R., Barr, N., Curtis, A., Vanclay, F., & Wilkinson, R. (2006). Understanding and promoting adoption of conservation practices by rural landholders. Australian Journal of Experimental Agriculture, 46, 1407ā€“1424.

    ArticleĀ  Google ScholarĀ 

  • Pearson, K. (1900). X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophcal Magazine Series 5, 50(302), 157ā€“175. https://doi.org/10.10801/14786440009463897. Retrieved from http://www.tandfonline.com.

    ArticleĀ  Google ScholarĀ 

  • Pison, G., Rousseeuw, J. P., Filzmozer, P., & Croux, C. (2003). Robust factor analysis. Journal of Multivariate Analysis, 84, 145ā€“172.

    ArticleĀ  Google ScholarĀ 

  • Rogers, E. (2003). Diffusion of innovations (5th ed.). Simon and Schuster. ISBN 978-0-7432-5823-4.

    Google ScholarĀ 

  • Rogerson, P. (2001). Statistical methods for geography. London: Sage.

    BookĀ  Google ScholarĀ 

  • World Bank. (2007). World Development Report 2008 ā€œAgriculture for Developmentā€. Washington DC: World Bank/Oxford University Press.

    BookĀ  Google ScholarĀ 

Internet References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Evagelia Koutridi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Koutridi, E., Christopoulou, O., Duquenne, MN. (2018). Perceptions and Attitudes of Greek Farmers Towards Adopting Precision Agriculture: Case Study Region of Central Greece. In: Berbel, J., Bournaris, T., Manos, B., Matsatsinis, N., Viaggi, D. (eds) Multicriteria Analysis in Agriculture. Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-319-76929-5_10

Download citation

Publish with us

Policies and ethics