JOURNAL ARTICLE

IoT based Smart Poultry Farm Monitoring System.

  • Published In: International Scientific Journal of Engineering & Management, 2025, v. 4, n. 3. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: S., Naveenkumar; R., Nithish; K., Premkumar; T., Yuvaraja 3 of 3

Abstract

The article presents an Internet of Things (IoT) based smart poultry farm monitoring system designed to enhance poultry farming efficiency by automating environmental monitoring, disease detection, and feeding processes. Utilizing a Raspberry Pi as the central processing unit, the system integrates sensors to track temperature, humidity, and ammonia levels, alongside a camera module for real-time video streaming and disease identification. Automated food and water dispensing is controlled via servo and DC motors, while a web-based platform enables remote monitoring and alerts for abnormal conditions. Experimental results demonstrate the system's capability to maintain optimal farm conditions, reduce poultry mortality, and improve productivity, with future work aimed at enhancing disease detection accuracy and system scalability.

Additional Information

  • Source:International Scientific Journal of Engineering & Management. 2025/03, Vol. 4, Issue 3, p1
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2025
  • ISSN:25836129
  • DOI:10.55041/ISJEM02504
  • Accession Number:184897149
  • Copyright Statement:Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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