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

Waheed Muhammad Sanya

Abstract


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

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