Abstract

The surge in global population is compelling a shift toward smart agriculture practices. This coupled with the diminishing natural resources, limited availability of arable land, increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of Internet of Things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the agriculture sector. There is a paradigm shift from use of wireless sensor network (WSN) as a major driver of smart agriculture to the use of IoT and DA. The IoT integrates several existing technologies, such as WSN, radio frequency identification, cloud computing, middleware systems, and end-user applications. In this paper, several benefits and challenges of IoT have been identified. We present the IoT ecosystem and how the combination of IoT and DA is enabling smart agriculture. Furthermore, we provide future trends and opportunities which are categorized into technological innovations, application scenarios, business, and marketability.

Keywords

Computer scienceCloud computingAnalyticsAgricultureInternet of ThingsRadio-frequency identificationComputer securityMiddleware (distributed applications)TelecommunicationsData scienceDatabase

Affiliated Institutions

Related Publications

Publication Info

Year
2018
Type
article
Volume
5
Issue
5
Pages
3758-3773
Citations
1334
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1334
OpenAlex

Cite This

Olakunle Elijah, Tharek Abdul Rahman, Igbafe Orikumhi et al. (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal , 5 (5) , 3758-3773. https://doi.org/10.1109/jiot.2018.2844296

Identifiers

DOI
10.1109/jiot.2018.2844296