Machine Learning and IoT for Smart Agriculture: A Comprehensive ‎Review

  • Authors

    • Preety Chaudhary Department of Computer Science & Applications,‎ Maharshi Dayanand University, Rohtak, Haryana, India
    • Preeti Gulia Department of Computer Science & Applications,‎ Maharshi Dayanand University, Rohtak, Haryana, India
    • Nasib Singh Gill Department of Computer Science & Applications,‎ Maharshi Dayanand University, Rohtak, Haryana, India
    https://doi.org/10.14419/8fb5k746

    Received date: September 24, 2025

    Accepted date: October 29, 2025

    Published date: November 5, 2025

  • Smart Agriculture; IoT; Machine Learning; IoT Sensors; Crop yield Prediction

  • Abstract

    The world's population will grow faster than ever in the next ten years. After this, food will be ‎even more important. The old ways of growing won't be able to feed everyone when they need ‎to. This is why it's important to use cutting-edge technologies to address the issues that arise ‎when there are more people and more food. Smart agriculture heavily relies on AI and IoT for ‎various farming tasks. Smart agriculture serves as the most sustainable approach for modern ‎farms. Farmers use various monitors, including those that measure temperature, water levels, ‎and rainfall. This study explores the potential applications of IoT and machine learning in ‎farming. Another part of this study examines the usefulness and accuracy of various machine ‎learning methods. Machine learning is a valuable tool for predicting the growth of various ‎crops, selecting the most suitable ones for cultivation, and monitoring their progress. These ‎algorithms consider diverse factors such as soil composition and compatibility classification to ‎optimize crop selection for productive and sustainable farming practices‎.

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    Chaudhary, P., Gulia, P. ., & Gill, N. S. . (2025). Machine Learning and IoT for Smart Agriculture: A Comprehensive ‎Review. International Journal of Basic and Applied Sciences, 14(7), 187-198. https://doi.org/10.14419/8fb5k746