Improved environmental monitor and control using a wireless intelligent sensor network

Ofrim, Dragos Mihai; Ofrim, Bogdan Alexandru; Săcăleanu, Dragoş Ioan

doi:10.1109/iseee.2010.5628511

Cited by 5 publications

(1 citation statement)

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“…Water is an essential resource in the agriculture domain; thus, several studies have investigated efficient utilization of water resources [31]. For example, Ofrim et al (2010) [32] used a wireless sensor network to develop an automated irrigation system that determines an irrigating timing schedule based on sensed soil moisture parameters. As a result, watering requirements can be determined by measuring the soil moisture, which leads to efficient water utilization and high-quality crops.…”

Section: Related Workmentioning

confidence: 99%

Agricultural Irrigation Control using Sensor-enabled Architecture

2022

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Cloud-based architectures for precision agriculture are domain-specific controlled and require remote access to process and analyze the collected data over third-party cloud computing platforms. Due to the dynamic changes in agricultural parameters and restrictions in terms of accessing cloud platforms, developing a locally controlled and real-time configured architecture is crucial for efficient water irrigation and farmers management in agricultural fields. Thus, we present a new implementation of an independent sensor-enabled architecture using variety of wireless-based sensors to capture soil moisture level, amount of supplied water, and compute the reference evapotranspiration (ETo). Both parameters of soil moisture content and ETo values was then used to manage the amount of irrigated water in a small-scale agriculture field for 356 days. We collected around 34,200 experimental data samples to evaluate the performance of the architecture under different agriculture parameters and conditions, which have significant influence on realizing real-time monitoring of agricultural fields. In a proof of concept, we provide empirical results that show that our architecture performs favorably against the cloud-based architecture, as evaluated on collected experimental data through different statistical performance models. Experimental results demonstrate that the architecture has potential practical application in a many of farming activities, including water irrigation management and agricultural condition control.

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Section: Related Workmentioning

confidence: 99%