IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-032-23124-6_1.html

AI-Driven Agricultural Innovations for Food Security: Opportunities and Challenges in a Changing Global Landscape

Author

Listed:
  • Luís Fernando Guedes

    (FIA Business School)

  • Gleriani Torres

    (FIA Business School)

  • Dinei Pasqualini

    (FIA Business School)

Abstract

Ensuring food security remains a critical challenge in an era characterized by climate change, asymmetric resource distribution, and increasing global food demand. This study explores the transformative role of Artificial Intelligence (AI) in agriculture, focusing on its ability to enhance productivity, optimize supply chains, and foster sustainability. AI-driven innovations, such as precision agriculture, predictive analytics, and automated decision-making, can significantly improve resource allocation and risk management, bridging gaps in knowledge and efficiency. However, the successful deployment of AI in agricultural systems is contingent on overcoming key challenges, including infrastructure limitations, financial constraints for small-scale farmers, and concerns regarding data privacy and ethical AI governance. This study underscores the need for interdisciplinary collaboration, policy support, and tailored AI applications that account for diverse environmental and socio-economic contexts. By addressing these barriers, AI can potentially foster resilient and sustainable food systems.

Suggested Citation

  • Luís Fernando Guedes & Gleriani Torres & Dinei Pasqualini, 2026. "AI-Driven Agricultural Innovations for Food Security: Opportunities and Challenges in a Changing Global Landscape," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23124-6_1
    DOI: 10.1007/978-3-032-23124-6_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:prbchp:978-3-032-23124-6_1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.