Monitoring system using web of things in precision agriculture

Foughali, Karim; Karim, Fathalah; Frihida, Ali

doi:10.1016/j.procs.2017.06.083

Cited by 133 publications

(60 citation statements)

References 8 publications

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“…OpenIoT [13], for example, is the platform supporting Phenonet, an Australian wireless sensor network collecting information over a field of experimental crops with the aim to provide scientists and farmers with a platform for high resolution crop analysis in real world growing conditions [14]. Karim et al in [15] proposed an application prototype for precision farming based on the IoT platform Ubidots. ThingSpeak has been used by Mondal and Rehena in [16], where an intelligent field monitoring system is proposed.…”

Section: Related Workmentioning

confidence: 99%

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Viola

Antoniazzi

Aguzzi

et al. 2019

2019 24th Conference of Open Innovations Association (FRUCT)

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NGSI-LD is an open specification released by ETSI which proposes an information model and an API for an easy to use and standard management of context information. The NGSI-LD information model is framed within an ontology and adopts JSON-LD as serialization format for context information. This paper presents an approach to the implementation of the NGSI-LD specification over a SPARQL Event Processing Architecture. This work is being developed within the European-Brasilian H2020 SWAMP project focused on implementing an Internet of Things platform providing services for smart water management in agriculture.

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Section: Related Workmentioning

confidence: 99%

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Viola

Antoniazzi

Aguzzi

et al. 2019

2019 24th Conference of Open Innovations Association (FRUCT)

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“…Yu presenta un modelo de supervisión donde se monitorea y diagnostica el estado del cultivo, además de la operación del invernadero de forma remota [16]. Por otro lado Karim presenta un sistema basado en IoT para la gestión del riego del cultivo [17], usando una interfaz gráfica donde se puede monitorear en tiempo real las variaciones de las condiciones del suelo.…”

Section: Supervisión De Variables Bajo Invernadero En Sistemas Irunclassified

Sistemas automatizados para el control del recurso hídrico y variables ambientales bajo invernadero: aplicaciones y tendencias

2020

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Esta revisión se propone identificar las aplicaciones más recientes relacionadas con la automatización bajo invernadero con enfoque al uso adecuado del recurso hídrico y control de variables ambientales. La revisión hace parte del proyecto de investigación aplicada, diseño e implementación de un sistema SCADA para control del recurso hídrico y variables ambientales asociadas bajo invernadero mediante PLC. Se realiza una búsqueda detallada en revistas indexadas, nacionales e internacionales, páginas web, base de datos, y empresas relacionada al sector y se clasifica la información acorde a algunos criterios diferenciados; supervisión de variables bajo invernadero en sistemas irrigados, control automático del recurso hídrico y variables ambientales, adquisición de información para irrigación bajo invernadero, tendencias de la automatización en sistemas irrigados. A partir de la información se identifican las tecnologías recientes algunas aplicaciones, las tendencias y la necesidad de aplicarlas en el sector agrícola; como aporte para reducir el impacto de la migración de la mano de obra del campo a la ciudad.

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“…Placing IoT systems in plants is not new [12][13][14][15][16][17][18][19]. The availability of sensors and microcontrollers in the online market has facilitated the implementation of systems for monitoring plants, automate irrigation, provide artificial light, or disease detection in plants.…”

Section: Introductionmentioning

confidence: 99%

Fostering Environmental Awareness with Smart IoT Planters in Campuses

Tabuenca

Garcia-Alcantara

Gilarranz-Casado

et al. 2020

Sensors

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The decrease in the cost of sensors during the last years, and the arrival of the 5th generation of mobile technology will greatly benefit Internet of Things (IoT) innovation. Accordingly, the use of IoT in new agronomic practices might be a vital part for improving soil quality, optimising water usage, or improving the environment. Nonetheless, the implementation of IoT systems to foster environmental awareness in educational settings is still unexplored. This work addresses the educational need to train students on how to design complex sensor-based IoT ecosystems. Hence, a Project-Based-Learning approach is followed to explore multidisciplinary learning processes implementing IoT systems that varied in the sensors, actuators, microcontrollers, plants, soils and irrigation system they used. Three different types of planters were implemented, namely, hydroponic system, vertical garden, and rectangular planters. This work presents three key contributions that might help to improve teaching and learning processes. First, a holistic architecture describing how IoT ecosystems can be implemented in higher education settings is presented. Second, the results of an evaluation exploring teamwork performance in multidisciplinary groups is reported. Third, alternative initiatives to promote environmental awareness in educational contexts (based on the lessons learned) are suggested. The results of the evaluation show that multidisciplinary work including students from different expertise areas is highly beneficial for learning as well as on the perception of quality of the work obtained by the whole group. These conclusions rekindle the need to encourage work in multidisciplinary teams to train engineers for Industry 4.0 in Higher Education.

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Monitoring system using web of things in precision agriculture

Cited by 133 publications

References 8 publications

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Sistemas automatizados para el control del recurso hídrico y variables ambientales bajo invernadero: aplicaciones y tendencias

Fostering Environmental Awareness with Smart IoT Planters in Campuses

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