Enorasis

Chatzikostas, Grigoris; Boskidis, Ioannis; Symeonidis, Panagiotis; Tekes, Stavros; Pekakis, Pantelis

doi:10.1016/j.protcy.2013.11.070

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…ENORASIS (REF: 282949 Funded FP7-SME): by using this system, farmers can install a network of wireless sensors on their farms to gather information on factors affecting the crops’ need for water, including soil moisture, atmospheric temperature, insolation, wind speed and precipitation [ 20 , 21 ]. The system also has a set of valves to measure any increase in the amount of water.…”

Section: Introductionmentioning

confidence: 99%

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Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

Villarrubia

Paz

Iglesia

et al. 2017

Sensors

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Monitoring mechanisms that ensure efficient crop growth are essential on many farms, especially in certain areas of the planet where water is scarce. Most farmers must assume the high cost of the required equipment in order to be able to streamline natural resources on their farms. Considering that many farmers cannot afford to install this equipment, it is necessary to look for more effective solutions that would be cheaper to implement. The objective of this study is to build virtual organizations of agents that can communicate between each other while monitoring crops. A low cost sensor architecture allows farmers to monitor and optimize the growth of their crops by streamlining the amount of resources the crops need at every moment. Since the hardware has limited processing and communication capabilities, our approach uses the PANGEA architecture to overcome this limitation. Specifically, we will design a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind. A major outcome of our approach is that our solution is able to merge heterogeneous data from sensors and produce a response adapted to the context. In order to validate the proposed system, we present a case study in which farmers are provided with a tool that allows us to monitor the condition of crops on a TV screen using a low cost device.

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Section: Introductionmentioning

confidence: 99%

“…The model offers such a fine resolution that predictions can focus on areas of up to two square kilometres. Moreover, crop data can be used to prepare a watering plan, allowing the farmers to decide if they need to add more water to the ground [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

Villarrubia

Paz

Iglesia

et al. 2017

Sensors

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Performance Testing of istSOS Under High Load Scenarios

Cannata¹,

Antonovic²,

Strigaro³

et al. 2019

IJGI

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In the last 20 years, a mainstream in Earth information and decision making has been drawn by the vision of the digital earth that calls for 3D representation, interoperability and modelling. In this context, the time dimension is essential but despite its importance, not many open standards and implementations are available. The Sensor Observation Service from the Open Geospatial Consortium is one of them and was specifically designed to collect, store and share timeseries of observations from sensors. To better understand the performance and limitation of one software implementation of this standard in real cases, this study executed a load testing of the istSOS application under a high load condition, characterized by a high number of concurrent users, in three cases mimicking existing monitoring networks. The results, in addition to providing reference values for future similar tests, show the general capacity of istSOS in meeting the INSPIRE quality of service requirements and in offering good performance with less than 500 concurrent users. When the number of concurrent users increases to 1000 and 2000, only 80% of the response times are below 30 seconds, performance that is unsatisfactory in most modern usages.

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Enorasis

Cited by 2 publications

References 1 publication

Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

Performance Testing of istSOS Under High Load Scenarios

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