IoT-Based Smart Poultry Farm Monitoring and Controlling Using Raspberry Pi

Authors

  • Mangesh Kale Assistant Professor, Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pune, Maharashtra, India.
  • Sarita Charkha Assistant Professor, Department of Computer Science & Engineering, Nutan College of Engineering & Research, Pune, Maharashtra, India.
  • Pooja Dehankar Assistant Professor, Department of Computer Engineering, Ajeenkya D. Y. Patil University, School of Engineering, Pune, Maharashtra, India.
  • Pooja Sharma Associate Professor, Department of Computer Engineering, School of Engineering & Technology, Dr. D.Y. Patil University, Talegaon, Maharashtra, India
  • Amit Choudhary Associate Professor, Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pune, Maharashtra, India.
  • Mayur Jakhete Assistant Professor, Pimpri Chinchwad University, Pune, Maharashtra, India.
  • Vijaykumar Javanjal Associate Professor, Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pune, Maharashtra, India.

Keywords:

: IoT (Internet of Things), Raspberry Pi, DHT11, MQ 135, Arduino

Abstract

This research paper presents the implementation of an intelligent system for monitoring and controlling a poultry farm using a Linux-based web server, Raspberry Pi, and Arduino Uno. The proposed system monitors environmental conditions and adjusts them accordingly. The paper also demonstrates the serial peripheral communication and USB protocol communication between Raspberry Pi and Arduino Uno. The Raspberry Pi acts as an embedded web server, while the Arduino Uno reads sensor values. The integration of an embedded web server enables the utilization of Internet of Things (IoT) principles. The objective of this study is to monitor and control the environmental conditions within the poultry farm, including parameters such as humidity, temperature, brightness, and air quality. The system offers remote management capabilities, allowing farmers to effectively monitor and control their farms from remote locations. This remote accessibility contributes to cost reduction, improved quality, and efficient management of the poultry farming process. The findings of this research highlight the usefulness of the proposed system in enhancing farm management in remote areas. By leveraging IoT principles and the combined power of Raspberry Pi and Arduino Uno, farmers can monitor and adjust environmental conditions to ensure optimal conditions for the poultry. This system empowers farmers with real-time data, enabling them to make informed decisions and improve the overall productivity and well-being of their poultry farms.

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References

Manakant Intarakamhaeng and et al, “The Model Farm Management Automation Technology with RFID”, Pathumthani office of Science and Technoloy,2008.

Md Saifudaullah Bin Bahrudin and Rosni Abu Kassim,”Development of Fire Alarm System using Raspberry Pi and Arduino Uno”,Faculty of electrical Engineering University Teknoloi MARA Selangor,Malaysia,2013.

Kumar, A. and Hancke,G.P.”A Zigbee-based Animal Health Monitoring System”,Senior Member,IEEE,2013.

Boopathy.S 1, Satheesh kumar.M 2, Mohamed Feroz.A 3, Dinesh.R PG Student, Department of Embedded System Technologies Anna University, Regional Centre, Coimbatore, India1, 2 ,3, 4, “Performance Optimization of Poultry Farm By Using Instrumentation with Help of Embedded Automation,” International Journal of Innovative Research in Science, Engineering and Technology An ISO 3297: 2007 Certified Organization, Volume 3, Special Issue 1, February 2014 International Conference on Engineering Technology and Science- (ICETS’14)

Drishti Kanjilal, Divyata Singh, Rakhi Reddy, Prof Jimmy Mathew, “Smart Farm:Extending Automation To The Farm Level,” International Journal of Innovative Research in Science, Engineering and Technology, ISSUE 7, JULY 2014, ISSN 2277-8616.

Siwakorn Jindarat, Pongpisitt Wuttidittachotti, “Smart Farm monitoring using Raspberry Pi and Arduino”, IEEE 2015 International conference on computer, communication and control technology, April 2015.

Rupesh Muttha, Sanket N. Deshpande, Megha A. Chaudhari, Prof.N. P. Wagh, “PLC based Poultry automation system”,International Journal of science and research, Vol: 3, Issue: 3, June 2014.

Eben Upton, Gareth Halfacree,”Raspberry Pi User Guide”, 4th edition May 2016.

Simon Monk,”Programming the Raspberry Pi”,2nd edition, Getting started with python United State of America: O Reilly Media, oct 2015.

Gupta, N., & Verma, A. (2017). "IoT-Based Smart Agriculture: Towards Making Poultry Farming Smarter." In Proceedings of the International Conference on Information and Communication Technology for Intelligent Systems (ICTIS).

Sivakumar, P., et al. (2018). "Design and Implementation of IoT-Based Smart Poultry Farm Monitoring System." In Proceedings of the IEEE International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT).

Maruthamuthu, R., Dhabliya, D., Priyadarshini, G.K., Abbas, A.H.R., Barno, A., Kumar, V.V. Advancements in Compiler Design and Optimization Techniques (2023) E3S Web of Conferences, 399, art. no. 04047, .

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Published

12.01.2024

How to Cite

Kale, M. ., Charkha, S. ., Dehankar, P. ., Sharma, P. ., Choudhary, A. ., Jakhete, M. ., & Javanjal, V. . (2024). IoT-Based Smart Poultry Farm Monitoring and Controlling Using Raspberry Pi. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 373–379. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4523

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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