Computing Infrastructure Of IoT Applications In Smart Agriculture: A Systematical Review

Abstract

The study reviews current computing infrastructure of Internet-of-Things based applications in smart agriculture. The purpose is to identify key areas of state-of-arts computing technologies, data architecture, network technologies, and artificial intelligence, as well as ongoing challenges in these fields. To deliver the best of our knowledge, we review the latest research published in peer-reviewed journals and conferences from 2019 to 2021 depending on a four-step selection process of identification, screening, eligibility, and inclusion exclusion criteria. To examine these documents, a systematic review is conducted, and two main questions are answered. The output indicates that the improvements of computing infrastructure of IoT create exciting opportunities for real-world smart agriculture applications for evaluating, monitoring, enhancing the resource quality of nature such as soil, water, crop, etc. We conclude by summarizing that they are most commonly used in terms of network technologies, computing technologies, and data storage technologies of IoT. It could be considered like the kickoff point for the other forthcoming multi-disciplinary examination in smart applications and especially smart agriculture.