IDEAS home Printed from https://ideas.repec.org/p/foi/wpaper/2018_12.html
   My bibliography  Save this paper

Farmers’ perception of Controlled Traffic Farming (CTF) and associated technologies

Author

Listed:
  • Maria Nygård Thomsen

    (Department of Food and Resource Economics, University of Copenhagen)

  • Tseganesh Wubale Tamirat

    (Department of Food and Resource Economics, University of Copenhagen)

  • Søren Marcus Pedersen

    (Department of Food and Resource Economics, University of Copenhagen)

  • Kim Martin Lind

    (Department of Food and Resource Economics, University of Copenhagen)

  • Hans Henrik Pedersen

    (Aarhus University)

  • Sytze de Bruin

    (Wageningen University)

  • David Nuyttens

    (Research Institute for Agriculture, Fisheries and Food, ILVO, Belgium)

  • Jurgen Vangeyte

    (Research Institute for Agriculture, Fisheries and Food, ILVO, Belgium)

  • Patrick Dermot Forristal

    (Teagasc, Crop Science, Ireland)

  • Claus Grøn Sørensen

    (Aarhus University)

Abstract

This report presents descriptive results from a recent survey conducted with the objective of assessing the use of Controlled Traffic Farming (CTF) practices and associated precision farming technologies among farmers in eight European countries. About 26 % of the surveyed farmers use some CTF systems of which 45 % apply CTF on their entire farm. For the CTF users, the major motives to use CTF are to reduce soil structure damage and to improve efficiency (reduce cost) followed by a desire to make more profit. Concern about heavy machinery – induced soil compaction and perceptions about the potentials of CTF are considerably high. However, adoption appears to be constrained mainly by: high cost of machinery modification and RTK purchase, lack of compatibility of equipment and also GPS systems from different manufacturers, and lack of decision support systems. Issues about evidence on demonstrated benefits under local conditions and availability of contractors are also mentioned as limiting factors.

Suggested Citation

  • Maria Nygård Thomsen & Tseganesh Wubale Tamirat & Søren Marcus Pedersen & Kim Martin Lind & Hans Henrik Pedersen & Sytze de Bruin & David Nuyttens & Jurgen Vangeyte & Patrick Dermot Forristal & Claus , 2018. "Farmers’ perception of Controlled Traffic Farming (CTF) and associated technologies," IFRO Working Paper 2018/12, University of Copenhagen, Department of Food and Resource Economics.
    • Handle: RePEc:foi:wpaper:2018_12
    as

    Download full text from publisher

    File URL: http://okonomi.foi.dk/workingpapers/WPpdf/WP2018/IFRO_WP_2018_12.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. LoPiccalo, Katherine, 2022. "Impact of broadband penetration on U.S. Farm productivity: A panel approach," Telecommunications Policy, Elsevier, vol. 46(9).
    2. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    3. Hrozencik, Aaron & Aillery, Marcel, 2021. "Trends in U.S. Irrigated Agriculture: Increasing Resilience Under Water Supply Scarcity," Economic Information Bulletin 327359, United States Department of Agriculture, Economic Research Service.
    4. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    5. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    6. Kolady, Deepthi E. & Van Der Sluis, Evert, 2021. "Adoption Determinants of Precision Agriculture Technologies and Conservation Agriculture: Evidence from South Dakota," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    7. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    8. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    9. Hrozencik, Aaron & Aillery, Marcel, 2021. "Trends in U.S. Irrigated Agriculture: Increasing Resilience Under Water Supply Scarcity," USDA Miscellaneous 316792, United States Department of Agriculture.
    10. MacDonald, James M. & Hoppe, Robert A. & Newton, Doris, 2018. "Three Decades of Consolidation in U.S. Agriculture," Economic Information Bulletin 276247, United States Department of Agriculture, Economic Research Service.
    11. Schimmelpfennig, David & Lowenberg-DeBoer, James, 2020. "Farm types and precision agriculture adoption: crops, regions, soil variability, and farm size," Land, Farm & Agribusiness Management Department 304070, Harper Adams University, Land, Farm & Agribusiness Management Department.
    12. Fausti, Scott W. & Erickson, Bruce & Clay, David E. & Clay, Sharon A., 2021. "The Custom Service Industry’s Role in Precision Agriculture Adoption: A Literature Review," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    13. Capmourteres, Virginia & Adams, Justin & Berg, Aaron & Fraser, Evan & Swanton, Clarence & Anand, Madhur, 2018. "Precision conservation meets precision agriculture: A case study from southern Ontario," Agricultural Systems, Elsevier, vol. 167(C), pages 176-185.
    14. Dobre, Iuliana & Capra, Marius & Costache, Cristiana Adriana & Dorobantu, Nicoleta Alexandra, 2021. "Farm Size and Digitalization: Quantitative Approach," Western Balkan Journal of Agricultural Economics and Rural Development (WBJAERD), Institute of Agricultural Economics, vol. 3(1), June.
    15. Wang, Tong & Jin, Hailong & Sieverding, Heidi L. & Rao, Xudong & Miao, Yuxin & Kumar, Sandeep & Redfearn, Daren & Nafchi, Ali, 2022. "Understanding farmer perceptions of precision agriculture profitability in the U.S. Midwest," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322502, Agricultural and Applied Economics Association.
    16. Mintert, James & Thompson, Nathanael & Widmar, David & Bir, Courtney, 2019. "Pr - Precision Agriculture Technology Adoption In U.S. Crop Production," 22nd Congress, Tasmania, Australia, March 3-8, 2019 345888, International Farm Management Association.
    17. Jaroslav Vrchota & Martin Pech & Ivona Švepešová, 2022. "Precision Agriculture Technologies for Crop and Livestock Production in the Czech Republic," Agriculture, MDPI, vol. 12(8), pages 1-18, July.
    18. Julian M. Alston & Philip G. Pardey, 2020. "Innovation, Growth, and Structural Change in American Agriculture," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 123-165, National Bureau of Economic Research, Inc.
    19. Brian J. Wienhold & Merle F. Vigil & John R. Hendrickson & Justin D. Derner, 2018. "Vulnerability of crops and croplands in the US Northern Plains to predicted climate change," Climatic Change, Springer, vol. 146(1), pages 219-230, January.
    20. Meysam Kazemi & Faramarz F. Samavati, 2023. "Automatic Soil Sampling Site Selection in Management Zones Using a Multi-Objective Optimization Algorithm," Agriculture, MDPI, vol. 13(10), pages 1-25, October.

    More about this item

    Keywords

    Controlled Traffic Farming; adoption; survey; precision agriculture;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:foi:wpaper:2018_12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Geir Tveit (email available below). General contact details of provider: https://edirc.repec.org/data/foikudk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.