Design and Implementation of an IoT- Based Weather Monitoring System forEnhanced Chicken Farm


Authors : Md. Muntasir Mahmud; Md. Fazle Rabbi Sweet; Tasnim Fateha; S. M. Khalid Pritul; Md. Jahidul Islam; Md. Tareq Hasan

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/3tvk6trt

Scribd : https://tinyurl.com/yrmpj6hv

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG1680

Abstract : The goal of the project is to address the difficulties faced by chicken farmers in properly controlling the environmental conditions of their farms through the design and implementation of an Internet of Things- based weather monitoring system. It investigates how Internet of Things (IoT) technology can be used to remotely monitor and regulate weather conditionsthat are critical to the health and productivity of chicken. The overall goals of the initiative are to maximize production efficiency, enhance animal welfare, and improve management methods on poultry farms. Chicken farms are extremely vulnerable to changes in temperature, humidity, and air quality, among other environmental factors. Unpredictable or unfavorable weather patterns can cause stress, lower egg production, and higher bird mortality rates. The goal of the project is to create an affordable, user-friendly weather monitoring system that will enable farmers to keep an eye on, control, and maintain the perfect environment for their chickens. The project's primary design focus is on placing wireless sensors all throughout the chicken farm to continuously monitor important meteorological factors. Through a user- friendly online or mobile application, farmers can obtain real-time weather data and receive alerts thanks to the sensors' connection to a central IoT network. In order to adapt the heating, cooling, and ventilation systems to variations in the weather, the system also includes automated actuators. The Internet of Things (IoT)-based weather monitoring system showed considerable advantages for chicken farmers after undergoing extensive testing and deployment.

Keywords : Environmental, Efficiency, IoT, Weather Monitoring.

References :

  1. Kwon, O. K. (1981). Prediction of the incompressible flow over a rearward-facing step. Iowa State University.
  2. Lee, Y., Korpela, S. A., & Horne, R. N. (1982). Structure of multicellular natural convection in a tall vertical annulus. In International Heat Transfer Conference Digital Library. Begel House Inc.
  3. Sparrow, E. M., & Faghri, M. (1980). fluid-to- fluid conjugate heat transfer for a vertical pipe—internal forcedconvection and external natural convection.
  4. Tung, C. Y., & Yang, Y. (1982). Evaporative Heat Transfer in the Contact Line of a Mixture (Doctoral dissertation,Ph. D. thesis, Rensselaer Polytechnic Institute, Troy, NY).
  5. Watson, D. Evaporative Heat Transfer in the Contact Line of a Mixture. Technical Report No. HTL-26, CFD-4.Iowa State University, Ames, IA. 1982. DOI 10.1115/1.4042912.
  6. URL https://doi. org/10.1115/1. 4042912.
  7. Qiao, W. Z., & Mizumoto, M. (1996). PID type fuzzy controller and parameters adaptive method. Fuzzy sets andsystems, 78(1), 23-35.
  8. Misir, D., Malki, H. A., & Chen, G. (1996). Design and analysis of a fuzzy proportional-integral- derivative controller. Fuzzy sets and systems, 79(3), 297-314.
  9. Tsao, Y. C., Te Tsai, Y., Kuo, Y. W., & Hwang, C. (2019, October). An Implementation of IoT-Based Weather Monitoring System. In 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) (pp. 648-652). IEEE.
  10. Mondol, J. P., Mahmud, K. R., Kibria, M. G., & Al Azad, A. K. (2020, November). IoT based smart weather monitoring system for poultry farm. In 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT) (pp. 229-234). IEEE.
  11. Idowu, P. O., Adegbola, O. A., Solomon, I. D., Adeagbo, M. A., & Ojo, J. A. (2021). Design and Implementation of Smart-Controlled Poultry Farm Management System. International Journal of Enhanced Research in Science Technology & Engineering (IJERSTE), 10(9), 16-24.
  12. Rajakumar, G., Narayanan, K. L., Krishnan, R. S., Robinson, Y. H., Subramanian, M., & Asirvatham, M. (2022). Design of an Efficient IoT System for Poultry Farm Management. In Distributed Computing and Optimization Techniques: Select Proceedings of ICDCOT 2021 (pp. 325-335). Singapore: Springer Nature Singapore.
  13. Kim, S. J., & Lee, M. H. (2022). Design and implementation of a malfunction detection system for livestock ventilation devices in smart poultry farms. Agriculture, 12(12), 2150.
  14. Choukidar, G. A., & Dawande, N. A. (2017, August). Smart poultry farm automation and monitoring system. In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA) (pp. 1-5). IEEE.
  15. TAŞKIN, D., & Yazar, S. (2020). A Long-range context-aware platform design for rural monitoring with IoT In precision agriculture. International Journal of Computers Communications & Control, 15(2).
  16. Balyan, S., Jangir, H., Tripathi, S. N., Tripathi, A., Jhang, T., & Pandey, P. (2024). Seeding a Sustainable Future: Navigating the Digital Horizon of Smart Agriculture. Sustainability, 16(2), 475.
  17. Raj, M., Gupta, S., Chamola, V., Elhence, A., Garg, T., Atiquzzaman, M., & Niyato, D. (2021). A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0. Journal of Network and Computer Applications, 187, 103107.
  18. Peladarinos, N., Piromalis, D., Cheimaras, V., Tserepas, E., Munteanu, R. A., & Papageorgas, P. (2023). Enhancing smart agriculture by implementing digital twins: A comprehensive review. Sensors, 23(16), 7128.
  19. Patel, Y. (2023). Farming Solution with IoT.
  20. Khatoon, P. S., & Ahmed, M. (2022). Importance of semantic interoperability in smart agriculture systems. Transactions on Emerging Telecommunications Technologies, 33(5), e4448.
  21. Mistry, C., Ghosh, A., Biswas, M., Bagui, B., & Basak, A. (2022). Applications of Internet of Things and unmanned aerial Vehicle in smart agriculture: A review.
  22. Morchid, A., Marhoun, M., El Alami, R., & Boukili, B. (2024). Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection. Multimedia Tools and Applications, 1-40.
  23. Lim, K. G., & Kim, C. G. (2017). A Study on the IoT Framework Design for Ginseng Cultivation. In Information Science and Applications 2017: ICISA 2017 8 (pp. 679-687). Springer Singapore.

The goal of the project is to address the difficulties faced by chicken farmers in properly controlling the environmental conditions of their farms through the design and implementation of an Internet of Things- based weather monitoring system. It investigates how Internet of Things (IoT) technology can be used to remotely monitor and regulate weather conditionsthat are critical to the health and productivity of chicken. The overall goals of the initiative are to maximize production efficiency, enhance animal welfare, and improve management methods on poultry farms. Chicken farms are extremely vulnerable to changes in temperature, humidity, and air quality, among other environmental factors. Unpredictable or unfavorable weather patterns can cause stress, lower egg production, and higher bird mortality rates. The goal of the project is to create an affordable, user-friendly weather monitoring system that will enable farmers to keep an eye on, control, and maintain the perfect environment for their chickens. The project's primary design focus is on placing wireless sensors all throughout the chicken farm to continuously monitor important meteorological factors. Through a user- friendly online or mobile application, farmers can obtain real-time weather data and receive alerts thanks to the sensors' connection to a central IoT network. In order to adapt the heating, cooling, and ventilation systems to variations in the weather, the system also includes automated actuators. The Internet of Things (IoT)-based weather monitoring system showed considerable advantages for chicken farmers after undergoing extensive testing and deployment.

Keywords : Environmental, Efficiency, IoT, Weather Monitoring.

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