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

By O. Elijah, Tharek Abdul Rahman, Igbafe Orikumhi, Chee Yen (Bruce) Leow, M. N. Hindia. IEEE Internet of Things Journal, 2018

1,067 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Plant Science, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/f3bd2c4a6fd6f031d429221dc6e86b63c3a81ce2

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Citations in the corpus

Introducing digital twins to agriculture (2021, background): “DT have gained prominence, partially due to the uptake of Internet of Things technologies, that allow for the monitoring of physical twins at high spatial resolutions, almost in real-time, through both miniature devices and remote sensing, that produce ever-increasing data streams.”
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Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead (2021, neutral): “Elijah et al. carried out a review work on the beneﬁts of using IoT and data analytics in agriculture [14].”
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “There are related survey papers [9], [20]–[23] that focused on various aspects of IoT-based agriculture, as presented in Tab.”
Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey (2023, background): “The orchestration of these varied computational components forms a dynamic ecosystem that flexes with the undulating tides of data influx [20,34,37,46,55].”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “5) Applications: Almost all surveys refer to various IoT application domains including smart cities [61], smart homes [6], smart healthcare [62], smart agriculture [63], and smart industry [4].”
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Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, background): “[7] √ ◑ √ √ × √ √ √ √ ◑ × ◑ √ × × × √ 2017”
Applications of Remote Sensing in Precision Agriculture: A Review (2020, methodology): “Emerging technologies, such as remote sensing, global positioning systems (GPS), geographic information systems (GIS), Internet of Things (IoT), Big Data analysis, and artificial intelligence (AI) are promising tools being utilized to optimize agricultural operations and inputs aimed to enhance prod”
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Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk (2019, background): “and improve the performance across all markets [12]–[16].”
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