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1714736 Vol 9 · Issue 8 Download Paper

A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility

M. Dharmalingam S. Santhiya V. Shobana

Subject area: Science,Engineering and Technology  ·  Area of research: Agriculture Embedded Systems

DOI: https://doi.org/10.64388/IREV9I8-1714736

Abstract

This paper presents the development of an intelligent seed segregation system integrated with environmental monitoring and web-based visibility for smart agriculture applications. The proposed system utilizes an ESP8266 microcontroller to collect real-time temperature and humidity data through sensors and automatically separate good and defective seeds using a servo-driven mechanism. A rover-based platform enables mobility and remote operation through a web interface, allowing farmers to monitor system status and environmental conditions from any location. The system reduces manual labor, minimizes human error, and improves seed quality management through automation and data-driven decision-making. The prototype demonstrates reliable performance, low power consumption, and efficient wireless communication under real-time conditions. This work highlights the potential of embedded IoT technologies in enhancing agricultural productivity and supports the transition toward precision farming practices.

Keywords

Intelligent Seed Segregation, Smart Agriculture, Embedded System, ESP8266, Environmental Monitoring, Servo Motor, IoT, Web Interface Control, Real-Time Monitoring, Rover Automation, Automated Seed Sorting, Precision Farming.

References

[1] S. K. Ahmed and M. T. Rahman, “IoT-Based Smart Seed Quality Monitoring System,” in Proc. IEEE Int. Conf. Smart Agriculture, 2020.

[2] R. Banerjee and V. S. Patel, “Automated Seed Sorting Using Embedded Systems and Sensors,” in Proc. IEEE Conf. Industrial Electronics and Applications, 2019.

[3] L. Chen and H. Wang, “Real-Time Seed Quality Classification Using Machine Learning Techniques,” IEEE Trans. Automation Science and Engineering, 2021.

[4] P. Das and S. Mukherjee, “Development of Low-Cost Seed Sorting Machine for Agricultural Applications,” Int. Journal of Agricultural Engineering, 2018.

[5] A. A. El-Hag and A. Al-Mashat, “Optical and Image-Based Seed Grading System Using Computer Vision,” Journal of Food and Agricultural Technology, 2020.

[6] J. R. Fernandez and N. Kumar, “IoT-Enabled Smart Farming System for Crop and Seed Monitoring,” in Proc. ACM Int. Conf. Internet of Things, 2021.

[7] R. Gupta and D. K. Sharma, “Embedded System Design for Automated Seed Segregation,” in Proc. IEEE Int. Conf. Embedded Systems, 2019.

[8] Y. Huang and Q. Li, “Seed Quality Detection Using Sensor Fusion and Data Analytics,” IEEE Sensors Journal, 2022.

[9] M. A. Ibrahim and R. Khalid, “Design and Implementation of Intelligent Seed Sorting Robot,” Int. Journal of Robotics and Automation, 2020.

[10] S. P. Jadhav and A. R. Patil, “Smart Agriculture Rover for Real-Time Monitoring and Seed Management,” in Proc. IEEE Conf. Smart Computing, 2021.

[11] V. Kumar and P. Singh, “Machine Vision-Based Seed Classification for Precision Agriculture,” Journal of Artificial Intelligence in Agriculture, 2019.

[12] J. H. Lee and S. M. Park, “Real-Time Environmental Monitoring for Seed Storage Using IoT,” in Proc. IEEE Int. Conf. Green Technologies, 2020.

[13] K. R. Mehta and N. P. Shah, “Automated Seed Grading and Segregation Using Image Processing Techniques,” in Proc. Int. Conf. Computational Intelligence in Agriculture, 2018.

[14] R. S. Nair and L. J. Thomas, “Web-Based Monitoring System for Smart Agricultural Applications,” in Proc. IEEE Int. Conf. IoT and Cloud Computing, 2021.

[15] X. Zhang and Y. Zhao, “Deep Learning Approach for Seed Quality Inspection and Classification,” IEEE Trans. Neural Networks and Learning Systems, 2022.

How to cite this paper

M. Dharmalingam, S. Santhiya , V. Shobana "A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility" Iconic Research And Engineering Journals Volume 9 Issue 8 2026 Page 2046-2052 https://doi.org/10.64388/IREV9I8-1714736
M. Dharmalingam, S. Santhiya , V. Shobana "A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026, doi: https://doi.org/10.64388/IREV9I8-1714736
M. Dharmalingam, S. Santhiya , V. Shobana (2026). A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility. Iconic Research And Engineering Journals, 9(8). doi: https://doi.org/10.64388/IREV9I8-1714736
M. Dharmalingam, S. Santhiya , V. Shobana "A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026. Crossref, https://doi.org/10.64388/IREV9I8-1714736
@article{1714736,
      author = {M. Dharmalingam, S. Santhiya , V. Shobana },
      title = {A Real-Time Embedded Solution for Intelligent Seed Segregation with Web Visibility},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {2046-2052},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714736.pdf},
      abstract = {This paper presents the development of an intelligent seed segregation system integrated with environmental monitoring and web-based visibility for smart agriculture applications. The proposed system utilizes an ESP8266 microcontroller to collect real-time temperature and humidity data through sensors and automatically separate good and defective seeds using a servo-driven mechanism. A rover-based platform enables mobility and remote operation through a web interface, allowing farmers to monitor system status and environmental conditions from any location. The system reduces manual labor, minimizes human error, and improves seed quality management through automation and data-driven decision-making. The prototype demonstrates reliable performance, low power consumption, and efficient wireless communication under real-time conditions. This work highlights the potential of embedded IoT technologies in enhancing agricultural productivity and supports the transition toward precision farming practices.},
      keywords = {Intelligent Seed Segregation, Smart Agriculture, Embedded System, ESP8266, Environmental Monitoring, Servo Motor, IoT, Web Interface Control, Real-Time Monitoring, Rover Automation, Automated Seed Sorting, Precision Farming.},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714736}
  }