Intelligent Control Shed Poultry Farm System Incorporating With Machine Learning

  • Unique Paper ID: 170358
  • PageNo: 353-357
  • Abstract:
  • Traditional Control Shed Poultry Farm (CSPF) systems are typically operated manually or semi-automatically, requiring constant human oversight. This results in labour-intensive processes, human errors, and challenges in maintaining consistent performance. The proposed solution is an Intelligent CSPF system that integrates the Internet of Things (IoT) and Machine Learning (ML) to automate farm operations. The system operates in two phases: the learning phase, where it observes and learns from the operator’s behaviour patterns over time, and the mastering phase, where it automates the control of environmental factors such as temperature, humidity, water levels, and air quality based on historical data. In the Intelligent CSPF system, a Arduino Uno is used to collect data from sensors, apply ML algorithms, and control the farm’s environment using actuators based on predictions made by the ML model. This system allows for the development of a smart CSPF, where successful management models can be shared within the community, ultimately benefiting all participants by improving farm efficiency and increasing revenue.

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{170358,
        author = {Ms. Soumya S and Ms. N Sabitha Kumari},
        title = {Intelligent Control Shed Poultry Farm System Incorporating With Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {353-357},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170358},
        abstract = {Traditional Control Shed Poultry Farm (CSPF) systems are typically operated manually or semi-automatically, requiring constant human oversight. This results in labour-intensive processes, human errors, and challenges in maintaining consistent performance. The proposed solution is an Intelligent CSPF system that integrates the Internet of Things (IoT) and Machine Learning (ML) to automate farm operations. The system operates in two phases: the learning phase, where it observes and learns from the operator’s behaviour patterns over time, and the mastering phase, where it automates the control of environmental factors such as temperature, humidity, water levels, and air quality based on historical data. In the Intelligent CSPF system, a Arduino Uno is used to collect data from sensors, apply ML algorithms, and control the farm’s environment using actuators based on predictions made by the ML model. This system allows for the development of a smart CSPF, where successful management models can be shared within the community, ultimately benefiting all participants by improving farm efficiency and increasing revenue.},
        keywords = {Smart farming, IoT sensors, poultry health, machine learning models, environmental monitoring, farm automation, predictive analytics, resource efficiency, energy optimization, anomaly detection, feed management, sustainable agriculture, data-driven farming, shed control, poultry management system, smart agriculture, deep learning, health prediction, real-time monitoring, farm optimization, sensor integration.},
        month = {December},
        }

Cite This Article

S, M. S., & Kumari, M. N. S. (2024). Intelligent Control Shed Poultry Farm System Incorporating With Machine Learning. International Journal of Innovative Research in Technology (IJIRT), 11(7), 353–357.

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