Fusion of Nano Sensors and AI Models for Real-Time ‎Plant Health Monitoring in Agricultural Ecosystem

  • Authors

    • Suchethana H. C Assistant Professor, Dept of ISE, Jawaharlal Nehru New College of Engineering, Shivamogga
    • Sonia Maria D’Souza Associate Professor, Dept of AIML, New Horizon College of Engineering, Bengaluru, India
    • Bhawna Khokher Assistant Professor, Dept of AIML, New Horizon College of Engineering, Bengaluru, India
    • P. S. Prasad Assistant Professor, Dept of Computer Science and Engineering, JAIN (Deemed-to-be University), Bengaluru, India
    • Veeresh K. M Assistant Professor, Dept of ISE, SJB Institute of Technology, Bengaluru, India
    • P. Balasubramanian Student, Dept of AIML, New Horizon College of Engineering, Bengaluru, India
    https://doi.org/10.14419/b756d513

    Received date: June 16, 2025

    Accepted date: August 17, 2025

    Published date: September 8, 2025

  • Engineered Nanoparticles; Machine Learning; Nanotechnology; Nano Sensors; Sustainable Agriculture

  • Abstract

    The integration of nanotechnology into sustainable agriculture signifies a transformative approach to enhancing crop productivity and health. ‎This review examines recent advancements in the application of engineered nanoparticles, nanobiotechnology, and nano sensors, emphasizing their roles in improving soil health, disease management, and real-time monitoring of plant conditions. By analyzing various methodolo‎gies and outcomes from current research, the paper highlights the benefits of using nanoparticles for nutrient uptake efficiency and disease ‎resistance while addressing the potential environmental risks and regulatory challenges associated with their use. Additionally, the use of ‎machine learning algorithms in conjunction with nano sensor data is explored to enhance precision, predictive capabilities, and decision-making in smart agricultural systems. The findings indicate that nanotechnology not only fosters sustainable agricultural practices but also ‎presents significant opportunities for innovation in plant science. However, barriers to widespread adoption, such as cost, safety concerns, ‎and ecological impacts, must be addressed. This review contributes to the growing discourse on the future of agriculture and the vital role of ‎nanotechnology in achieving sustainable food production‎.

  • References

    1. Khan, Y., & Shafi, R. (2021). Nano sensors for plant health monitoring: A review. Sensors and Actuators B: Chemical, 332, 129482. https://doi.org/10.1016/j.snb.2021.129482.
    2. Aamir, M., et al. (2021). Nanomaterials and nano sensors for smart agriculture: A review. Environmental Science and Pollution Research, 28(15), 18752–18768. https://doi.org/10.1016/B978-0-12-820783-3.00024-5.
    3. Mansoori, A., et al. (2023). The role of nano sensors in enhancing agricultural sustainability. Agricultural Systems, 192, 103207.
    4. Zhang, H., & Wang, L. (2020). Electrochemical nano sensors for detecting nutrient deficiencies in plants. Biosensors and Bioelectronics, 168, 112532.
    5. Liu, Y., et al. (2021). Piezoelectric nano sensors for monitoring plant stress responses. Nano Letters, 21(5), 2147–2155.
    6. Patel, S. K. S., et al. (2022). Review of optical nano sensors for plant disease diagnosis. Sensors, 22(3), 933.
    7. Singh, R., & Kumar, P. (2022). Optical nano sensors for real-time detection of pathogens in plants. Journal of Nanobiotechnology, 20(1), 223.
    8. Zhang, Y., et al. (2022). Optical nano sensors for monitoring plant health: Advances and challenges. Sensors and Actuators B: Chemical, 359, 131649.
    9. Ali, M. H., et al. (2023). Electrochemical nano sensors for plant health monitoring: Innovations and applications. Plant Physiology and Biochemistry, 186, 15–30.
    10. Chen, Q., et al. (2021). Recent developments in nano sensors for real-time monitoring of plant stress. Trends in Plant Science, 26(5), 486–498.
    11. Ranjan, R., et al. (2023). Nanotechnology in monitoring plant diseases: An overview of current trends and future directions. Journal of Plant Physi-ology, 258, 153333.
    12. Jiang, Y., et al. (2020). Recent advances in nano sensors for environmental monitoring in agriculture. Environmental Science & Technology, 54(5), 2781–2791. L
    13. Garrido-Maestu, A., & Navas, J. (2019). Nanotechnology in agriculture: The potential for applications in plant science. Frontiers in Plant Science, 10, 1544.
    14. Akhter, S., & Shah, A. A. (2023). Application of nanotechnology in plant science: Opportunities and challenges. Nanotechnology Reviews, 12(1), 294–312.
    15. Kumar, A., et al. (2021). Emerging trends in nano sensors for precision agriculture. Trends in Plant Science, 26(9), 864–878.

  • Downloads

  • How to Cite

    C, S. H. ., D’Souza, S. M. ., Khokher , B. ., Prasad , P. S. ., M, V. K. ., & Balasubramanian, P. . (2025). Fusion of Nano Sensors and AI Models for Real-Time ‎Plant Health Monitoring in Agricultural Ecosystem. International Journal of Basic and Applied Sciences, 14(5), 247-251. https://doi.org/10.14419/b756d513