Enhancing The Ability Of Poultry Farming To Cope With Covid-19 Pandemic Using Lora Internet Of Things Technology

Waheed Muhammad Sanya


Abstract- Since December 2019, the coronavirus disease (COVID-19) epidemic has been pretentious in all sectors of human life. Scientists, as well as engineers, are working for developing a serum, through progressing more testing facilities and to improve monitoring systems. Advanced technology will help to cope with the Covid -19 outbreak and is convenient. In every part of life, it is essential to be updated through ratification of the progress in mass interest. With the growing demand, poultry farming has to cope with Covid -19 pandemic by using Lora IoT technology that becomes well known that contributes enormously to economic growth. In this paper, we will introduce a real-time automated poultry monitoring system that can be very useful to farmers effortlessly access and control the system remotely. The sensor will be used to sense and all data directed collected to the TTN cloud, the data in the cloud can be accessed and controlled by mobile apps, the summary of the information will be sent to the user through a text message or voice messages through handheld mobile devices. This reduces human involvement, saving time, and increases poultry production during the Covid-19 pandemic, in this automated system the physiological parameters such as temperature, air quality level, humidity, light intensity ventilation, and food feeding, in farms needs to be monitored and controlled virtual with less human involvement. The proposed system will generate quality data recording from a sensor that is will be stored in a Network server. The IoT technology will increase poultry fulfillment and raise demand for chicken meat and eggs during the Covid-19 epidemic as well as protection of chicken and the entire system. The strategic intentions of the production are to fulfill human demands and to ensure sustainable agriculture.


Keywords— Covid-19, LoRa, IoT, TTN, poultry farm.

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FAO Statistics 2020 Available online at http://fenix.fao.org/faostat/internal/en/#home, (accessed May 28, 2020).

US Department of Agriculture USDA Foreign Agricultural Service. (2020) Available onlineat https://www.statista.com/statistics/237597/leading-10-countries- worldwide-in-poultry-meat-production-in-2007/.

Haleem A, Javaid M, Khan IH. J. Clin. Orthop.Trauma 2019. Internet of things (IoT) applicationsin orthopedics. https://doi.org/10.1016/ j.jcot.2019.07.003. In press

Bai L, Yang D, Wang X, Tong L, Zhu X, Bai C, et al. Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019. Clinical eHealth 2020 Mar 17. In press.

Pravina B. Chikankar, Deepak Mehetre, and Soumitra Das,” An Automatic Irrigation System using ZigBee in Wireless Sensor Network,” Computer Engineering Department K J College of

Engineering &Management Research, Pune, India.-2015.

Bicevskis J., Borzovs J., Straujums U., Zarins A, and Miller E.F,” A System to Construct Samples for Data processing Program Debugging,” Proc IEEE, Vol. SE-5, Issue 1, Jan 1979, pp- 60-66.

Hafez M Hafez, Youssef A.Attia “Challenges to the Poultry Industry: Current Perspectives and Strategic Future After the COVID-19 Outbreak”

M. P. Archana, S. K. Uma, and T. M. Raghavendra Babu, “Monitoring and controlling of poultry farm using IoT,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 6, Iss. 4, pp. 3573–3579, Apr. 2018.

M. P. Archana, S. K. Uma, and T. M. Raghavendra Babu, “A survey on monitoring of poultry farm using IoT,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 5, Iss. 4, pp. 4635–4638, Apr. 2018.

Hitimana, G. Bajpai, R. Musabe, and L. Sibomana, “Remote monitoring and control of poultry farm using IoT techniques,” International Journal of Latest Technology in Engineering, Management & Applied Sci., vol. 7, no. 5, pp. 87–90, May 2018.

R. B. Mahale and S. S. Sonavane, “Smart poultry farm monitoring using IoT and wireless sensor networks,” International Journal of Advanced Research in Computer Science, vol. 7, no. 3, pp. 187–190, May 2016.

Sneha. M, T. N. Raghavendra, and H. Prasanna Kumar, “Internet- based smart poultry farm using LabVIEW,” International Research Journal of Engineering and Technology, vol. 3, Iss. 12, pp. 1–5, Dec. 2016.

L. S. Handigolkar, M. L. Kavya, and P. D. Veena, “IoT based smart poultry farming using commodity hardware and software,” Bonfring International Journal of Software Engineering and Soft Computing, vol. 6, no. Special Issue, pp. 171–175, Oct. 2016.

M. Goswami and K. Bhatt, “IoT based smart greenhouse and poultry farm environment monitoring and controlling using LAMP server and mobile application,” International Journal of Advance Research and Innovative Ideas in Education, vol. 3, Iss. 2, pp. 4114–4124, 2017.

Muhammad Faiz, Ravi Kumar, and Au Thien Wan, “IoT Based Smart Poultry Farm in Brunei” 2020 8 th International conference and Communication Technology(ICoICT).

Siddique, M.J., Islam, M.A., Nur, F.N., Moon, N.N., Saifuzzaman, M.: breath SAFE: a smart garbage collection system for Dhaka city. In: 2018 10th International Conference on Electrical and Computer Engineering (ICECE), pp. 401–404 (2018).

A. Bellini, E. Bellini, and M. Gherardelli, “Enhancing IoT data dependability through a blockchain mirror model,” Future Internet, vol. 11, no. 117, pp. 1–9, May 2019.

DOI: http://dx.doi.org/10.52155/ijpsat.v28.1.3435


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