Wan Daud, Wan Mohd Bukhari and Abu, Nur Syuhadah and Ahmad Izzuddin, Tarmizi and Abdul Rasid, Ahmad Fuad and Norasikin, Mohd Adili and Mohamed Kassim, Anuar and C. H., Ong and Sukhaimie, M. N. (2022) Internet of things applications in precision agriculture: A review. Journal of Robotics and Control (JRC), 3 (3). pp. 338-347. ISSN 2715-5056
Text
14159-55241-2-PB.PDF Download (466kB) |
Abstract
The goal of this paper is to review the implementation of an Internet of Things (IoT)-based system in the precision agriculture sector. Each year, farmers suffer enormous losses as a result of insect infestations and a lack of equipment to manage the farm effectively. The selected article summarises the recommended systematic equipment and approach for implementing an IoT in smart farming. This review's purpose is to identify and discuss the significant devices, cloud platforms, communication protocols, and data processing methodologies. This review highlights an updated technology for agricultural smart management by revising every area, such as crop field data and application utilization. By customizing their technology spending decisions, agriculture stakeholders can better protect the environment and increase food production in a way that meets future global demand. Last but not least, the contribution of this research is that the use of IoT in the agricultural sector helps to improve sensing and monitoring of production, including farm resource usage, animal behavior, crop growth, and food processing. Also, it provides a better understanding of the individual agricultural circumstances, such as environmental and weather conditions, the growth of weeds, pests, and diseases.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Component, Internet of Things, Precision agriculture, Data management, Crop monitoring, Smart farming |
Divisions: | Faculty of Electrical Engineering |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 13 Apr 2023 15:27 |
Last Modified: | 13 Apr 2023 15:27 |
URI: | http://eprints.utem.edu.my/id/eprint/26631 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |