IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i7p757-d1625315.html
   My bibliography  Save this article

Big Data Analytics and Machine Learning for Smart Agriculture

Author

Listed:
  • Maciej Zaborowicz

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

  • Jakub Frankowski

    (Department of Bioeconomy, Institute of Natural Fibers and Medicinal Plants–National Research Institute, Wojska Polskiego 71B, 60-630 Poznań, Poland)

Abstract

Modern technologies are continuously entering every aspect of our lives...

Suggested Citation

  • Maciej Zaborowicz & Jakub Frankowski, 2025. "Big Data Analytics and Machine Learning for Smart Agriculture," Agriculture, MDPI, vol. 15(7), pages 1-4, March.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:7:p:757-:d:1625315
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/7/757/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/15/7/757/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yogesh Shahare & Mukund Partap Singh & Prabhishek Singh & Manoj Diwakar & Vijendra Singh & Seifedine Kadry & Lukas Sevcik, 2023. "A Comprehensive Analysis of Machine Learning-Based Assessment and Prediction of Soil Enzyme Activity," Agriculture, MDPI, vol. 13(7), pages 1-18, June.
    2. Yuzhe Bai & Fengjun Hou & Xinyuan Fan & Weifan Lin & Jinghan Lu & Junyu Zhou & Dongchen Fan & Lin Li, 2023. "A Lightweight Pest Detection Model for Drones Based on Transformer and Super-Resolution Sampling Techniques," Agriculture, MDPI, vol. 13(9), pages 1-23, September.
    3. Tahira Nazir & Muhammad Munwar Iqbal & Sohail Jabbar & Ayyaz Hussain & Mubarak Albathan, 2023. "EfficientPNet—An Optimized and Efficient Deep Learning Approach for Classifying Disease of Potato Plant Leaves," Agriculture, MDPI, vol. 13(4), pages 1-18, April.
    4. Boyu Xie & Qi Su & Beilun Tang & Yan Li & Zhengwu Yang & Jiaoyang Wang & Chenxi Wang & Jingxian Lin & Lin Li, 2023. "Combining Neural Architecture Search with Knowledge Graphs in Transformer: Advancing Chili Disease Detection," Agriculture, MDPI, vol. 13(10), pages 1-22, October.
    5. Christine Musanase & Anthony Vodacek & Damien Hanyurwimfura & Alfred Uwitonze & Innocent Kabandana, 2023. "Data-Driven Analysis and Machine Learning-Based Crop and Fertilizer Recommendation System for Revolutionizing Farming Practices," Agriculture, MDPI, vol. 13(11), pages 1-23, November.
    6. Sidrah Mumtaz & Mudassar Raza & Ofonime Dominic Okon & Saeed Ur Rehman & Adham E. Ragab & Hafiz Tayyab Rauf, 2023. "A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging," Agriculture, MDPI, vol. 13(3), pages 1-22, March.
    7. Zahid Ullah & Najah Alsubaie & Mona Jamjoom & Samah H. Alajmani & Farrukh Saleem, 2023. "EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images," Agriculture, MDPI, vol. 13(3), pages 1-13, March.
    8. Dominika Sieracka & Maciej Zaborowicz & Jakub Frankowski, 2023. "Identification of Characteristic Parameters in Seed Yielding of Selected Varieties of Industrial Hemp ( Cannabis sativa L.) Using Artificial Intelligence Methods," Agriculture, MDPI, vol. 13(5), pages 1-11, May.
    9. Cuncai He & Fangxin Wan & Guojun Ma & Xiaobin Mou & Kaikai Zhang & Xiangfeng Wu & Xiaopeng Huang, 2024. "Analysis of the Impact of Different Improvement Methods Based on YOLOV8 for Weed Detection," Agriculture, MDPI, vol. 14(5), pages 1-18, April.
    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. J. Siva Prashanth & G. Bala Krishna & A. V. Krishna Prasad & P. Ravinder Rao, 2025. "Smart Farming Revolution: A Cutting-Edge Review of Deep Learning and IoT Innovations in Agriculture," SN Operations Research Forum, Springer, vol. 6(1), pages 1-39, March.
    2. Wei Li & Lizhou Zhu & Jun Liu, 2024. "PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection," Agriculture, MDPI, vol. 14(5), pages 1-14, April.
    3. Yuqin Zhang & Qijie Fan & Xuan Chen & Min Li & Zeying Zhao & Fuzhong Li & Leifeng Guo, 2025. "IPM-AgriGPT: A Large Language Model for Pest and Disease Management with a G-EA Framework and Agricultural Contextual Reasoning," Mathematics, MDPI, vol. 13(4), pages 1-29, February.
    4. Obasi S.N & Tenebe V. A & Obasi C.C & Jokthan G.E & Adjei E.A & Keyagha E.R, 2024. "Harnessing Artificial Intelligence For Sustainable Agriculture: A Comprehensive Review Of African Applications In Spatial Analysis And Precision Agriculture," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 6(1), pages 01-13, April.
    5. Yuzhe Bai & Fengjun Hou & Xinyuan Fan & Weifan Lin & Jinghan Lu & Junyu Zhou & Dongchen Fan & Lin Li, 2023. "A Lightweight Pest Detection Model for Drones Based on Transformer and Super-Resolution Sampling Techniques," Agriculture, MDPI, vol. 13(9), pages 1-23, September.
    6. Shenghao Ye & Xinyu Xue & Shuning Si & Yang Xu & Feixiang Le & Longfei Cui & Yongkui Jin, 2023. "Design and Testing of an Elastic Comb Reciprocating a Soybean Plant-to-Plant Seedling Avoidance and Weeding Device," Agriculture, MDPI, vol. 13(11), pages 1-23, November.
    7. Obed Appiah & Kwame Oppong Hackman & Belko Abdoul Aziz Diallo & Kehinde O. Ogunjobi & Son Diakalia & Ouedraogo Valentin & Damoue Abdoul-Karim & Gaston Dabire, 2024. "PlanteSaine: An Artificial Intelligent Empowered Mobile Application for Pests and Disease Management for Maize, Tomato, and Onion Farmers in Burkina Faso," Agriculture, MDPI, vol. 14(8), pages 1-23, July.

    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:15:y:2025:i:7:p:757-:d:1625315. 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.