An Edge-IoT Architecture and Regression Techniques Applied to an Agriculture Industry Scenario

SUSTAINABLE SMART CITIES AND TERRITORIES(2022)

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摘要
The agricultural industry must adapt to todays market by using resources efficiently and respecting the environment. This paper presents the analysis of data and the application of the Internet of Things (IoT) and advanced computing technologies in a real-world scenario. The proposed model monitors environmental conditions on a farm through a series of deployed sensors and the most outstanding feature of this model is the robust data transmission it offers. The analysis of information collected by the sensors is measured using state-of-the-art computing technology that helps reduce data traffic between the IoT layers and the cloud. The designed methodology integrates sensors and a state-of-the-art computing platform for data mining This small study forms the basis for a future test with several operations at the same time.
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关键词
Smart Farming, Data transfer, Eco-efficiency, Linear regression, Internet of Things, Edge computing
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