IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/290387.html
   My bibliography  Save this article

Factors influencing the adoption of smart farming by Brazilian grain farmers

Author

Listed:
  • Pivoto, Diesson
  • Barham, Bradford
  • Dabdab, Paulo
  • Zhang, Debin
  • Talamin, Edson

Abstract

Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.

Suggested Citation

  • Pivoto, Diesson & Barham, Bradford & Dabdab, Paulo & Zhang, Debin & Talamin, Edson, 2019. "Factors influencing the adoption of smart farming by Brazilian grain farmers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(4), April.
    • Handle: RePEc:ags:ifaamr:290387
    DOI: 10.22004/ag.econ.290387
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/290387/files/IFAMR%207.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.290387?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tan Wang & Xianbao Xu & Cong Wang & Zhen Li & Daoliang Li, 2021. "From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production," Agriculture, MDPI, vol. 11(2), pages 1-26, February.
    2. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    3. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
    4. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    5. Cristian Rogério Foguesatto & João Armando Dessimon Machado, 2021. "What shapes farmers’ perception of climate change? A case study of southern Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1525-1538, February.
    6. Juan Manuel Vargas-Canales, 2023. "Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico," Agriculture, MDPI, vol. 13(6), pages 1-16, May.
    7. Édson Luis Bolfe & Lúcio André de Castro Jorge & Ieda Del’Arco Sanches & Ariovaldo Luchiari Júnior & Cinthia Cabral da Costa & Daniel de Castro Victoria & Ricardo Yassushi Inamasu & Célia Regina Grego, 2020. "Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers," Agriculture, MDPI, vol. 10(12), pages 1-16, December.
    8. Ancín, María & Pindado, Emilio & Sánchez, Mercedes, 2022. "New trends in the global digital transformation process of the agri-food sector: An exploratory study based on Twitter," Agricultural Systems, Elsevier, vol. 203(C).
    9. Giua, Carlo & Materia, Valentina Cristiana & Camanzi, Luca, 2022. "Smart farming technologies adoption: Which factors play a role in the digital transition?," Technology in Society, Elsevier, vol. 68(C).
    10. Yi Cai & Wene Qi & Famin Yi, 2023. "Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 131-147, January.
    11. Francisco Tardelli da Silva & Ismael Cristofer Baierle & Ricardo Gonçalves de Faria Correa & Miguel Afonso Sellitto & Fernanda Araujo Pimentel Peres & Liane Mahlmann Kipper, 2023. "Open Innovation in Agribusiness: Barriers and Challenges in the Transition to Agriculture 4.0," Sustainability, MDPI, vol. 15(11), pages 1-14, May.
    12. Adams, Abdulai & Jumpah, Emmanuel Tetteh & Caesar, Livingstone Divine, 2021. "The nexuses between technology adoption and socioeconomic changes among farmers in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Ismael Cristofer Baierle & Francisco Tardelli da Silva & Ricardo Gonçalves de Faria Correa & Jones Luís Schaefer & Matheus Becker Da Costa & Guilherme Brittes Benitez & Elpidio Oscar Benitez Nara, 2022. "Competitiveness of Food Industry in the Era of Digital Transformation towards Agriculture 4.0," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    14. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).
    15. Montoya, Marco Antonio & Allegretti, Gabriela & Bertussi, Luís Antônio Sleimann & Talamini, Edson, 2023. "Domestic and foreign decoupling of economic growth and water consumption and its driving factors in the Brazilian economy," Ecological Economics, Elsevier, vol. 206(C).
    16. Jui-Hsiung Chuang & Jiun-Hao Wang & Yu-Chang Liou, 2020. "Farmers’ Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan," IJERPH, MDPI, vol. 17(19), pages 1-8, October.
    17. Sebastian Lieder & Christoph Schröter-Schlaack, 2021. "Smart Farming Technologies in Arable Farming: Towards a Holistic Assessment of Opportunities and Risks," Sustainability, MDPI, vol. 13(12), pages 1-20, June.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:ags:ifaamr:290387. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifamaea.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.