Scholarly record
EXPANDABLE IOT ARCHITECTURE FOR LIVESTOCK IN AGRICULTURE 5.0
Abstract
The technological progress naturally leads to a transition from Agriculture 4.0 to Agriculture 5.0, which includes key technologies as Wireless Sensor Networks, Internet of Things, Cloud age, Artificial Intelligence, and Machine Learning accompanying agronomic activities. These technologies allow collection of information, analyzing and drawing meaningful insights from it in a more accurate, timely and reliable manner. IoT in this context refers to the use of IoT devices to convert data from surrounding elements and actions related to agriculture. The number of IoT agricultural active connections in the EU in 2016 is reported to be 0.51 million, increasing to 12.03 million in 2019 and expected to reach 46.92 million by 2022 and 70.26 million connections by 2025. Moreover, IoT technologies (sensors, cameras, drones, and connected devices) are considered as the main reason agriculture can generate so much valuable information. The agriculture sector as expected is highly influenced by the advances in these technologies. Smart Farming is in focus now. There are various proposed solutions utilizing the IoT concept in Smart Farming. However, the architecture of these developments is very difficult to reorganize to provide for the expansion of their functionality, the integration of new IoT devices and data sources using various communication protocols. Finally, managing IoT devices is still a challenge. Catching up with the ever-increasing demands and technologies, Agriculture 5.0 needs an effective approach to the design of extensible IoT architectures. By adopting AWS Cloud IoT services this paper proposes an expandable IoT architecture, which can work with a variety of communication protocols, allowing centralized device management and Big Data processing abilities.
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