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Internet-of-things for smart agriculture: current applications, future perspectives, and limitations


Citation

Rizan, Nastaran and Balasundram, Siva K. and Shahbazi, Arash Bayat and Balachandran, Unetha and Shamshiri, Redmond R. (2024) Internet-of-things for smart agriculture: current applications, future perspectives, and limitations. Agricultural Sciences, 15 (12). pp. 1446-1475. ISSN 2156-8553; eISSN: 2156-8561

Abstract

The increasing global population has led to a higher demand for food production, while a decrease in rural labor and a rise in production costs present complex challenges for the food industry. Smart agriculture is a farm management concept that considers the deployment of Internet of Things (IoT) to address current food production challenges. In this regard, the agricultural sector is becoming increasingly data-focused, and requires data and technologies that are more precise, advanced, and cutting-edge than in the past. IoT enables agriculture to become data-driven, resulting in timely and more cost-effective farm intervention while reducing environmental impact. This review provides an analytical survey of the current and potential applications of IoT in smart agriculture to overcome challenges posed by spatio-temporal variability under varying environments and task diversity. This review also discusses the challenges that may arise from IoT deployment and presents an overview of the existing applications and those that may be developed in the future.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
DOI Number: https://doi.org/10.4236/as.2024.1512080
Publisher: Scientific Research Publishing
Keywords: Smart agriculture; Internet of things (IoT); Precision farming; Data-driven agriculture; Agricultural technology; Sustainable food production
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 11 Jun 2025 07:52
Last Modified: 11 Jun 2025 07:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4236/as.2024.1512080
URI: http://psasir.upm.edu.my/id/eprint/117765
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