IoT-Enabled Smart Street Lighting System with Traffic Density Control

  • Unique Paper ID: 178883
  • PageNo: 8802-8805
  • Abstract:
  • This paper presents the design and implementation of a Silkworm Disease Detection and Prevention System using IoT technology. The system leverages temperature, humidity, and gas sensors integrated with a NodeMCU ESP8266 microcontroller to continuously monitor environmental conditions in silkworm rearing houses. By setting threshold values for critical parameters, the system detects anomalies that may lead to disease outbreaks in silkworms. The data is transmitted to a cloud-based IoT platform (like ThingSpeak), enabling real-time monitoring and alert notifications. The proposed system aims to reduce silkworm mortality, increase productivity, and support farmers with early warning and prevention mechanisms.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{178883,
        author = {Preetham K A and Dr. Malatesh S H and M D Salman Khan and Rana Satishrao Nelwade and Sudarsh Babu M and Mr. Mohd Faisal Khan},
        title = {IoT-Enabled Smart Street Lighting System with Traffic Density Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8802-8805},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178883},
        abstract = {This paper presents the design and implementation of a Silkworm Disease Detection and Prevention System using IoT technology. The system leverages temperature, humidity, and gas sensors integrated with a NodeMCU ESP8266 microcontroller to continuously monitor environmental conditions in silkworm rearing houses. By setting threshold values for critical parameters, the system detects anomalies that may lead to disease outbreaks in silkworms. The data is transmitted to a cloud-based IoT platform (like ThingSpeak), enabling real-time monitoring and alert notifications. The proposed system aims to reduce silkworm mortality, increase productivity, and support farmers with early warning and prevention mechanisms.},
        keywords = {Silkworm disease, IoT, ESP8266, DHT11 sensor, gas sensor, ThingSpeak, real-time monitoring, sericulture.},
        month = {May},
        }

Cite This Article

A, P. K., & H, D. M. S., & Khan, M. D. S., & Nelwade, R. S., & M, S. B., & Khan, M. M. F. (2025). IoT-Enabled Smart Street Lighting System with Traffic Density Control. International Journal of Innovative Research in Technology (IJIRT), 11(12), 8802–8805.

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