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| Title | A Fog Computing Based Agriculture-Iot Framework For Detection Of Alert Conditions And Effective Crop Protection |
|---|---|
| ID_Doc | 1709 |
| Authors | Singh G.; Singh J. |
| Year | 2023 |
| Published | Proceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023 |
| DOI | http://dx.doi.org/10.1109/ICSSIT55814.2023.10060995 |
| Abstract | The Internet of Things, a new world in computer networks, is growing more and more significant due with its vast range of applications in goal-oriented initiative advances. People nowadays have access to remotely applications that include agriculture, environmental sensing, integrated solutions, as well as smart cities due to the Internet of Things. These are the modern, advanced technologies that make things simple. The IoT must have effectively improved the number and diversity of connected gadgets, resulting in an attractive trend. The fog computing paradigm, which is also a relatively recent invention mostly in computer industry, can efficiently supplement conventional cloud platform with much more sustainable technologies. Despite its low environmental impact, fog computing can potentially be extremely important for the development of smart agriculture. In this work, introducing a fog-based internet of things architecture that takes advantage of the fog as well as its services, lowering the amount of data relayed towards the cloud, enhancing computationally resource utilization. The increasing domain of smart agriculture, which involves all agriculture management approaches, is subject to the suggested fog computing methodology. Additionally, using this platform as a foundation, did simulations as well as illustrated how such fog computing strategy may signficantly minimise the quantity of data sent to the cloud. It also suggest as well as outline a proposed system that can detect the alert conditions over heterogeneous sensor data streams yielding effective crop protection. © 2023 IEEE. |
| Author Keywords | Alert Conditions Detection; Applications of IoT in Smart Agriculture; Fog Computing; Internet of Things; IoT based Fog Computing Framework; IoT Ecosystem Architecture; Sensors |
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