IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-72494-7_46.html
   My bibliography  Save this book chapter

AI-Based Innovation in Precision Agriculture: Studies of Brazilian AgTechs

Author

Listed:
  • Belmiro N. João

    (Pontifical Catholic University of São Paulo (PUC/SP))

Abstract

Content AgTech is a company using technology in agriculture to increase productivity and efficiency. Technologies like machine learning have prominence in Precision Agriculture. Relevance Integrating AI into PA promotes efficiency, productivity, and sustainability. Allowing the optimization of resource use and facilitating data-based decision-making contribute to food security and the mitigation of environmental impacts. Literature Gap we work with the alignment between the creation of knowledge in AI and the creation of startups in agriculture based on the Knowledge Overflow Theory of Entrepreneurship and advance the literature on AI-based innovation. Objective This research aimed to identify and analyze where knowledge is created in AI to AgTech. Methodology We show three case studies of AgTech that helped this transformation and attracted the growing interest in venture capital. Results AgTechs have an above-average demand for technological expertise, funding, and knowledge. Crop monitoring control by remote sensing management is an example of a solution involving the participation of leading institutions and experts in the innovation ecosystem, including leading universities.

Suggested Citation

  • Belmiro N. João, 2025. "AI-Based Innovation in Precision Agriculture: Studies of Brazilian AgTechs," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-72494-7_46
    DOI: 10.1007/978-3-031-72494-7_46
    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 search for a similarly titled item that would be available.

    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:978-3-031-72494-7_46. 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.