An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges

Olakunle Elijah, Tharek Abdul Rahman, Igbafe Orikumhi, Chee Yen Leow, Mhd Nour Hindia

Research output: Contribution to journalArticlepeer-review

270 Scopus citations


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.

Original languageEnglish
Article number8372905
Pages (from-to)3758-3773
Number of pages16
JournalIEEE Internet of Things Journal
Issue number5
StatePublished - 2018 Oct


  • Agriculture
  • Internet of Things (IoT)
  • IoT ecosystems
  • IoT in agriculture
  • IoT sensors
  • data analytics (DA)
  • smart agriculture


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