Authors : Girish Kapse; Abhinav Kumar; Basant Kumar; Vikash Kumar

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/2d2xw3jd

Scribd : https://tinyurl.com/54c8dj5e

DOI : https://doi.org/10.38124/ijisrt/25apr1274

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.

Abstract : Conventional methods for monitoring soil nutrients are often labor-intensive and inefficient, relying on manual sampling and laboratory analysis, which delays necessary interventions and results in resource inefficiencies in agriculture. This study introduces an IoT-driven system for real-time soil nutrient monitoring and analysis, addressing these limitations. The system employs advanced sensors to measure essential soil parameters such as nitrogen, phosphorus, potassium (NPK), moisture, and pH levels. Sensor data is transmitted wirelessly to a cloud-based platform for continuous processing and analysis, offering immediate insights into soil conditions. The novelty of this approach lies in the integration of IoT technology, cloud computing, and data analytics to enable accurate and timely decisions for effective soil management. Unlike traditional or existing systems that lack real-time functionality or require substantial investments, this solution is cost-effective, scalable, and efficient. By delivering actionable insights, the system helps optimize fertilizer usage, improve crop productivity, and promote sustainable agricultural practices, ultimately contributing to enhanced resource management and increased yields.  General Terms Conventional methods, soil nutrient monitoring, manual sampling, laboratory analysis, resource inefficiencies, IoT- driven system, real-time monitoring, soil parameters, sensor data, cloud- based platform, data processing and analysis, decision-making, effective soil management, traditional systems, cost-effective solutions, scalable systems, sustainable agricultural practices.

Keywords : IoT (Internet of Things), Soil Nutrients, Nitrogen (N), Phosphorus (P), Potassium (K) (NPK), Moisture Levels, pH Levels, Cloud Computing, Data Analytics, Fertilizer Optimization, Crop Productivity, Smart Farming, Precision Agriculture, Agricultural Technology, Yield Enhancement, Real-Time Insights, Sensor Integration.

References :

1. A.A. Raneesha Madhushanki, "IoT in Agriculture: Applications and Advancements," Proceedings of the IEEE International Conference on IoT-Based Control Networks and Intelligent Systems, 2024.
2. N. Misra, "Internet of Things (IoT) in Agriculture: Applications, Challenges, and Future Directions," IEEE Access, vol. 8, 2020.
3. S. Mukherjee, et al., "Recent Advances in IoT Technologies for Precision Farming," Journal of Precision Agriculture Research, vol. 9, no. 3, pp. 145-160, 2021.
4. R. Kaur, et al., "Precision Agriculture: Leveraging IoT and GIS for Sustainable Crop Management," Environmental Systems Research, vol. 10, no. 2, 2022.
5. S. Singh, et al., "Wireless Sensor Networks in Agriculture: Opportunities and Challenges," International Journal of Agricultural Technology, vol. 15, no. 4, 2023.
6. M.K. Patel, et al., "IoT-Based Smart Agriculture: Toward Making the Fields Talk," Springer Smart Agriculture Series, pp. 210-225, 2021.
7. P. Ponniah, Data Warehousing Fundamentals for it Professionals: Second Edition. 2010.

8. P. Rajalakshmi and S. Devi Mahalakshmi, “IOT based crop-field monitoring and irrigation automation,” in Proceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016, 2016.
9. I. Mat, M. R. Mohd Kassim, A. N. Harun, and I. Mat Yusoff, “IoT in Precision Agriculture applications using Wireless Moisture Sensor Network,”  in  ICOS  2016  -  2016  IEEE Conference on Open Systems, 2017.
10. X. Zhang, J. Zhang, L. Li, Y. Zhang, and G. Yang, “Monitoring citrus soil moisture and nutrients using an IoT based system,” Sensors (Switzerland), 2017.
11. Recent Advances in Internet of Things (IoT) Technologies for Agriculture and Precision Farming by S. Mukherjee et al. (2020).
12. Precision Agriculture Techniques and Practices: A Review by R. Kaur et al. (2018).
13. Wireless Sensor Networks for Agriculture: A Review  by  S.  Singh et  al.  (2017).