Towards smart agriculture using FIWARE enablers

Ferreira, Diogo; Corista, Pedro; Gião, João; Ghimire, Sudeep; Sarraipa, João; Jardim‐Gonçalves, Ricardo

doi:10.1109/ice.2017.8280066

Cited by 16 publications

(14 citation statements)

References 12 publications

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“…FIWARE presents a modular architecture based on open source components trying to form an open and sustainable ecosystem with the capacity to be adapted to different environments. This platform provides cloud capabilities based on OpenStack [31] including a series of libraries and tools known as Generic Enablers (GEs) [32], which facilitate the creation of applications and services in IoT. These GEs offer Representational State Transfer (REST) and an Application Programming Interface (API) with public and free specifications, which allow the integration of third party software services, leading to an acceleration in the development of intelligent solutions, including data analysis and processing, persistence, and language interpreters, among others.…”

Section: Fiwarementioning

confidence: 99%

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

Muñoz

Gil

Roca

et al. 2020

Sensors

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The current agricultural water panorama in many Mediterranean countries is composed by desalination facilities, wells (frequently overexploited), the water public utility network, and several consumer agents with different water needs. This distributed water network requires centralized management methods for its proper use, which are difficult to implement as the different agents are usually geographically separated. In this sense, the use of enabling technologies such as the Internet of Things can be essential to the proper operation of these agroindustrial systems. In this paper, an Internet of Things cloud architecture based on the FIWARE standard is proposed for interconnecting the several agents that make up the agroindustrial system. In addition, this architecture includes an efficient management method based on a model predictive control technique, which is aimed at minimizing operating costs. A case study inspired by three real facilities located in Almería (southeast of Spain) is used as the simulation test bed. The obtained results show how around 75% of the total operating costs can be saved with the application of the proposed approach, which could be very significant to decrease the costs of desalinated water and, therefore, to maintain the sustainability of the agricultural system.

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Section: Fiwarementioning

confidence: 99%

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

Muñoz

Gil

Roca

et al. 2020

Sensors

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“…Several system architectures (platforms) have been proposed to deal with the challenges presented in agriculture. Some platforms are cloud-centric, where the smart sensing devices installed in the field send data to a remote central processing system that may even support decision making [11], [12], [13], [14]. Other IoT platforms rely on hybrid structures composed of edge or fog computing and cloud computing useful to deal with communication shortcomings between the farm and the cloud [15], [16], [17].…”

Section: Iot Platforms For Agricultural Servicesmentioning

confidence: 99%

“…Such platforms may be based on software frameworks such as FIWARE [14,16], [22], proprietary or custom-made software frameworks following a multitude of software architectures [23] or microservices-based architecture [24], [25], [26], [27]. FIWARE makes interoperability between applications called enablers and has the context broker ORION in its core.…”

Section: Iot Platforms For Agricultural Servicesmentioning

confidence: 99%

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IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment

Maia¹,

Ballester²,

Baniya³

et al. 2020

Preprint

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Research has shown the multitude of applications that IoT, cloud computing and forecast technologies present in every sector. In agriculture, one application is the monitoring of factors that influence crop development to assist in making crop management decisions. Research on the application of such technologies in agriculture has been mainly conducted at small experimental sites or under controlled conditions. This research has provided relevant insights and guidelines for the use of different types of sensors, application of a multitude of algorithms to forecast relevant parameters as well as architectural approaches of IoT platforms. However, research on the implementation of IoT platforms at the commercial scale is needed to identify platform requirements to properly function under such conditions. This article evaluates an IoT platform (IRRISENS) based on fully replicable microservices used to sense soil, crop and atmosphere parameters, interact with third party cloud services, planning and scheduling irrigation as well as control of irrigation water control devices. The proposed IoT platform was evaluated during one growing season at four commercial scale farms on two different broadacre irrigated crops with very different water management requirements (rice and cotton). Five main requirements for IoT platforms to be used in agriculture at commercial scale were identified from implementing IRRISENS in rice and cotton production: scalability, flexibility, heterogeneity, robustness to failure and security. The platform addressed all these requirements. The results showed that the microservice approach followed in the platform is robust against both intermittent and critical failures in the field that could occur in any of the monitored sites. Further, processing or storage overload caused for any reason at one farm did not affect the performance of the platform regarding the other monitored farms. This paper also discusses how the microservice approach can address the data heterogeneity issue when crops with different management requirements are monitored. Since there are no shared microservices among farms, the IoT platform proposed here also provides data isolation maintaining data confidentiality for each user, which is relevant in a commercial farm scenario.

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“…Therefore, in recent years, several applications have been developed adopting the FIWARE technology in different application domains including information management [13,14], Cloud resource management [15], smart mobility [16][17][18][19], smart parking [20], smart agriculture [21,22], energy [23], security [24][25][26][27], human-computer interaction [28], earthquake prevention [29], and healthcare [30].…”

Section: Introductionmentioning

confidence: 99%

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

Celesti

Fazio

Márquez

et al. 2019

JSAN

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Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects of our daily life. One of the major sectors that is taking advantage of such cutting-edge cheap smart devices is healthcare. In this context, Remote Patient Monitoring (RPM) at home represents a tempting opportunity for hospitals to reduce clinical costs and to improve the quality of life of both patients and their families. It allows patients to be monitored remotely by means networks of Internet of Things (IoT) medical devices equipped with sensors and actuators that collect healthcare data from patients and send them to a Cloud-based Hospital Information System (HIS) for processing. Up to now, many different proprietary software systems have been developed as stand-along expensive solutions, presenting interoperability, extensibility, and scalability issues. In recent years, the European Commission (EC) has promoted the wide adoption of FIWARE technology, launching 16 Industrial Accelerators focusing on different application fields. One of these, i.e., FICHe, is specialized in healthcare, providing the guidelines on how to develop eHealth systems. This paper focuses on how to compose new cutting-edge IoT and Cloud-based Cyber Physical Health Sytem (CPHS) services and applications interconnected with remote medical sensors and actuators using FIWARE technology in the context envisioned by FICHe. In particular, we discuss the design and development of an RPM system implemented through the collaboration between the Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) “Bonino Pulejo” (i.e., a clinical and research healthcare centre specialized in the treatment of neuro lesions), University of Messina, IBM Research, Telefónica, and the University of the Western Cape in South Africa. The description of our best practice provides a model and guidelines for the development of lightweight and low cost RPM services for rural and isolated areas, with the expectation of expanding healthcare to the developing world and in general allows us to outline how to deal with the real adoption of the FIWARE technology in an e-health project.

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Towards smart agriculture using FIWARE enablers

Cited by 16 publications

References 12 publications

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)

IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

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