FARMNET: Agriculture support system using Wireless Sensor and Actuator Network

Gajjar, Sachin; Kothari, D. K.; Upadhyay, Manisha; Dhingra, Vandana

doi:10.1109/wispnet.2017.8299765

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…All these advancements lead to the so-called Precision Agriculture and Smart Agriculture, where the information gathered by sensors (such as environmental parameters [ 10 ] or chemical component and soil water detection [ 11 ]) provide support to decision systems [ 12 ], facilitating the adoption of measures in order to optimize resources such as water or fertilizers [ 13 , 14 , 15 , 16 ], control and manage plant growth [ 17 ], as well as to detect, prevent and treat diseases [ 18 , 19 ]. One of the main advantages that this kind of systems can provide is the possibility to control and act from a location far away from the crops.…”

Section: Introductionmentioning

confidence: 99%

Integration of Autonomous Wireless Sensor Networks in Academic School Gardens

López-Iturri

Celaya-Echarri

Azpilicueta

et al. 2018

Sensors

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In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.

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