IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i9p1630-d1479779.html
   My bibliography  Save this article

Exploring Digital Innovations in Agriculture: A Pathway to Sustainable Food Production and Resource Management

Author

Listed:
  • Gniewko Niedbała

    (Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland)

  • Sebastian Kujawa

    (Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland)

  • Magdalena Piekutowska

    (Department of Botany and Plant Protection, Institute of Biology, Pomeranian University in Słupsk, 22b Partyzantów St., 76-200 Słupsk, Poland)

  • Tomasz Wojciechowski

    (Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland)

Abstract

Today’s agriculture faces numerous challenges due to climate change, a growing population and the need to increase food productivity [...]

Suggested Citation

  • Gniewko Niedbała & Sebastian Kujawa & Magdalena Piekutowska & Tomasz Wojciechowski, 2024. "Exploring Digital Innovations in Agriculture: A Pathway to Sustainable Food Production and Resource Management," Agriculture, MDPI, vol. 14(9), pages 1-5, September.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1630-:d:1479779
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/9/1630/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/9/1630/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siti Nurul Afiah Mohd Johari & Siti Khairunniza-Bejo & Abdul Rashid Mohamed Shariff & Nur Azuan Husin & Mohamed Mazmira Mohd Masri & Noorhazwani Kamarudin, 2023. "Detection of Bagworm Infestation Area in Oil Palm Plantation Based on UAV Remote Sensing Using Machine Learning Approach," Agriculture, MDPI, vol. 13(10), pages 1-21, September.
    2. Daqing Wu & Rong Yan & Hongtao Jin & Fengmao Cai, 2023. "An Adaptive Nutcracker Optimization Approach for Distribution of Fresh Agricultural Products with Dynamic Demands," Agriculture, MDPI, vol. 13(7), pages 1-21, July.
    3. Myung Hwan Na & Wan Hyun Cho & Sang Kyoon Kim & In Seop Na, 2023. "The Development of a Weight Prediction System for Pigs Using Raspberry Pi," Agriculture, MDPI, vol. 13(10), pages 1-12, October.
    4. Anant Sujatanagarjuna & Shohreh Kia & Dominique Fabio Briechle & Benjamin Leiding, 2023. "MushR: A Smart, Automated, and Scalable Indoor Harvesting System for Gourmet Mushrooms," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
    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. Hoang Hai Nguyen & Dae-Yun Shin & Woo-Sung Jung & Tae-Yeol Kim & Dae-Hyun Lee, 2024. "An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
    2. Chang Gwon Dang & Seung Soo Lee & Mahboob Alam & Sang Min Lee & Mi Na Park & Ha-Seung Seong & Min Ki Baek & Van Thuan Pham & Jae Gu Lee & Seungkyu Han, 2023. "A Korean Cattle Weight Prediction Approach Using 3D Segmentation-Based Feature Extraction and Regression Machine Learning from Incomplete 3D Shapes Acquired from Real Farm Environments," Agriculture, MDPI, vol. 13(12), pages 1-22, December.

    More about this item

    Keywords

    n/a;

    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:gam:jagris:v:14:y:2024:i:9:p:1630-:d:1479779. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.