IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v213y2024ics0308521x23001993.html
   My bibliography  Save this article

A pending task for the digitalisation of agriculture: A general framework for technologies classification in agriculture

Author

Listed:
  • Moreno, José C.
  • Berenguel, Manuel
  • Donaire, Julián G.
  • Rodríguez, Francisco
  • Sánchez-Molina, Jorge A.
  • Guzmán, José Luis
  • Giagnocavo, Cynthia L.

Abstract

This research paper details the response to a central challenge of the digitalization of agricultural systems which stems from information overload and the broad heterogeneity of agricultural technologies and the classification thereof. It is the result of four years of effort on the Horizon 2020 SmartAgriHubs (SAH) project, whose purpose was the development and connection of Digital Innovation Hubs (DIHs) and Competence Centres (CCs) related to the agricultural sector in Europe. CCs form the backbone of DIHs and provide the digital technological infrastructure by offering advanced technical expertise, access to the latest knowledge and information on digital technologies, and other technological and scientific infrastructure. However, the lack of a general framework for technology classification in agriculture needed to be remedied, not only to specifically advance the general aim of SmartAgriHubs and DIHs to “connect the dots”, but in general, so as to facilitate a broad range of actors involved in digitalisation of agriculture.

Suggested Citation

  • Moreno, José C. & Berenguel, Manuel & Donaire, Julián G. & Rodríguez, Francisco & Sánchez-Molina, Jorge A. & Guzmán, José Luis & Giagnocavo, Cynthia L., 2024. "A pending task for the digitalisation of agriculture: A general framework for technologies classification in agriculture," Agricultural Systems, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:agisys:v:213:y:2024:i:c:s0308521x23001993
    DOI: 10.1016/j.agsy.2023.103794
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X23001993
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2023.103794?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tripoli, Mischa & Schmidhuber, Josef, 2018. "Emerging Opportunities for the Application of Blockchain in the Agri-Food Industry," Post-Nairobi WTO Agenda 320187, International Centre for Trade and Sustainable Development (ICTSD).
    2. 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).
    3. Julie Labatut & Franck Aggeri & Nathalie N. Girard, 2012. "Discipline and Change: How Technologies and Organizational Routines Interact in New Practice Creation," Post-Print hal-00660155, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Gorobets Nataliia & Verhun Mykhailo & Nemashkalo Karina & Vovk Volodymyr & Mazur Nataliya & Brovarets Oleksandr & Melnyk Anton, 2024. "Management of Cluster Development of Agricultural Enterprises in Conditions of Digitalization, Legal Risks, Innovative Education and Smart Economy," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 46(4), pages 506-517.
    2. Granado-Díaz, Rubén & Colombo, Sergio & Romero-Varo, Marina & Villanueva, Anastasio J., 2024. "Farmers' attitudes toward the use of digital technologies in the context of agri-environmental policies," Agricultural Systems, Elsevier, vol. 221(C).
    3. Benedetta Fasciolo & Ahmed Mubarak Mekki Awouda & Nicolò Grasso & Giulia Bruno & Paolo Chiabert & Franco Lombardi, 2024. "An Evaluation of Research Interests in Vertical Farming through the Analysis of KPIs Adopted in the Literature," Sustainability, MDPI, vol. 16(4), pages 1-18, February.

    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. Yuyang Li & Jiahui Li & Xinjie Li & Qian Lu, 2024. "Does Participation in Digital Supply and Marketing Promote Smallholder Farmers’ Adoption of Green Agricultural Production Technologies?," Land, MDPI, vol. 14(1), pages 1-24, December.
    3. Yi-Chun Ko & Shinsuke Uchida & Akira Hibiki, 2024. "Substitution of Human and Physical Capitals in Farm Adaptation to Extreme Temperatures: Evidence from Corn Yields in US," TUPD Discussion Papers 49, Graduate School of Economics and Management, Tohoku University.
    4. Basharat Ali & Peter Dahlhaus, 2022. "Roles of Selective Agriculture Practices in Sustainable Agricultural Performance: A Systematic Review," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    5. Franck Aggeri, 2017. "How can performativity contribute to management and organization research? Theoretical perspectives and analytical framework [Qu'est-ce que la performativité peut apporter aux recherches en managem," Post-Print hal-01609172, HAL.
    6. 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.
    7. Spykman, Olivia & Gabriel, Andreas, 2023. "Evaluating the impact of government investment support for crop robots: a multi method approach," Agri-Tech Economics Papers 344216, Harper Adams University, Land, Farm & Agribusiness Management Department.
    8. Gerli, Paolo & Clement, Jessica & Esposito, Giovanni & Mora, Luca & Crutzen, Nathalie, 2022. "The hidden power of emotions: How psychological factors influence skill development in smart technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Eirini Aivazidou & Naoum Tsolakis, 2023. "Transitioning towards human–robot synergy in agriculture: A systems thinking perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 536-551, May.
    10. Abdelnour, Samer & Hasselbladh, Hans & Kallinikos, Jannis, 2017. "Agency and institutions in organization studies," LSE Research Online Documents on Economics 86361, London School of Economics and Political Science, LSE Library.
    11. Kuhn, T. & Möhring, N. & Töpel, A. & Jakob, F. & Britz, W. & Bröring, S. & Pich, A. & Schwaneberg, U. & Rennings, M., 2022. "Using a bio-economic farm model to evaluate the economic potential and pesticide load reduction of the greenRelease technology," Agricultural Systems, Elsevier, vol. 201(C).
    12. Pratibha Wasan & Ashwani Kumar & Sunil Luthra, 2023. "How can banks and finance companies incorporate value chain factors in their risk management strategy? The case of agro‐food firms," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 858-877, January.
    13. Jang, Hyunmi & Haddoud, Mohamed Yacine & Roh, Saeyeon & Onjewu, Adah-Kole Emmanuel & Choi, Taeeun, 2023. "Implementing smart factory: A fuzzy-set analysis to uncover successful paths," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    14. N. Girard & D. Magda & J. Astruc & N. Couix & H. Gross & J. P Guyon & J. Labatut & Y. Poinsot & F. Saldaqui, 2015. "Analyzing indicators for combining natural resources management and production-oriented activities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(1), pages 155-172, February.
    15. Rodríguez-Barillas, María & Klerkx, Laurens & Poortvliet, P. Marijn, 2024. "What determines the acceptance of Climate Smart Technologies? The influence of farmers' behavioral drivers in connection with the policy environment," Agricultural Systems, Elsevier, vol. 213(C).
    16. 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.
    17. Tran Cao Uy & Budsara Limnirankul & Prathanthip Kramol & Hung Hoang Gia & Da Thao Nguyen Thi, 2025. "Digital technology adoption among smallholder farmers in Vietnam: Implications for digital agricultural extension strategies," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(2), pages 351-370, March.
    18. Magenge Deborah & Kyaruzi Athman & Nsenga, Justus, 2025. "Factors Influencing Tomato Farmers to Adopt Agricultural Technologies in Mlali Mvomero District, Tanzania," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 4325-4340, March.
    19. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
    20. Luca Preite & Federico Solari & Giuseppe Vignali, 2025. "Water Management Optimization in Agriculture: a Digital Model Development," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(3), pages 1261-1279, February.

    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:eee:agisys:v:213:y:2024:i:c:s0308521x23001993. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.