Using Cloud IOT for disease prevention in precision agriculture

Foughali, Karim; Fathallah, Karim; Frihida, Ali

doi:10.1016/j.procs.2018.04.106

Cited by 87 publications

(50 citation statements)

References 6 publications

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“…With the brisk growth of the IoT, the traditional cloud computing is facing stern issues, like undesirable network latency, and spectral inefficiency which does not make it suitable for scenarios requiring minimal latency, real-time treatment, and mobility support. Determined to resolve these issues, new paradigm transfers the functioning of cloud computing Location Centralized Distributed over the large geographical area [151] closer to the data source. This technology is referred to as Fog computing [147].…”

Section: Time Series Forecastingmentioning

confidence: 99%

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Data Analytics in the Internet of Things: A Survey

Saleem

Chishti

2019

SCPE

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The plethora of sensors deployed in Internet of Things (IoT) environments generate unprecedented volumes of data, thereby creating a data deluge. Data collected from these sensors can be used to comprehend, examine and control intricate environments around us, facilitating greater intelligence, smarter decision-making, and better performance. The key challenge here is how to mine out proﬁcient information from such immense data. Copious solutions have been put forth to obtain valuable inferences and insights, however, these solutions are still in their developing stages. Moreover, conventional procedures do not address the surging analytical demands of IoT systems. Motivated to resolve this concern, this work investigates the key enablers for performing desired data analytics in IoT applications. A comprehensive survey on the identiﬁed key enablers including their role in IoT data analytics, use cases in which they have been applied and the corresponding IoT applications for the use cases is presented. Furthermore, open research challenges and future research opportunities are also discussed. This article can be used as a basis to foster advanced research in the arena of IoT data analytics.

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Section: Time Series Forecastingmentioning

confidence: 99%

“…Examples of IoT use-cases that utilized cloud computing as the computing platform include industrial IoT big learning [148], hybrid systems for smart agriculture [149], disease diagnosis [150], disease prevention in precision agriculture [151], temperature control systems [152] etc.…”

Section: Time Series Forecastingmentioning

confidence: 99%

Data Analytics in the Internet of Things: A Survey

Saleem

Chishti

2019

SCPE

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“…TIC [16], [11], [18], [32], [33], [21], [45], [7], [35], [36], [43], [15], [26], [5], [44], [38], [3], [46], [29], [39], [30], [41], [47], [48].…”

Section: Documentos Encontradosmentioning

confidence: 99%

“…Otros [11], [45], [22], [10], [9], [24], [37], [27], [5], [28], [8], [40], [47]. En los apartados que prosiguen, se puede observar el análisis detallado por temática abordada.…”

Section: Documentos Encontradosunclassified

Internet de las cosas aplicado a la agricultura: estado actual

et al. 2019

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Este artículo presenta una revisión actualizada de las diferentes aplicaciones de tecnologías enmarcadas en el internet de las cosas (IoT) en agricultura, mediante la recopilación de diversos documentos en las áreas de interés, y por medio de criterios de selección puntualizados, respondiendo preguntas específicas de investigación. La información recolectada se dividió en dos factores relevantes: en primer lugar, se identificaron las tecnologías de IoT aplicadas en agricultura divididas en capa de percepción y capa de red; por otra parte, se hizo énfasis en la búsqueda de desarrollos aplicados en América Latina, con especial cuidado en Colombia, para establecer la influencia de este tipo de tecnologías en la región. Finalmente, este trabajo pretende dar un panorama para futuras investigaciones, estableciendo los dispositivos y las tecnologías de IoT más recurrentes aplicadas en agricultura.

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“…(6) In the automatic production of agricultural products, it is considered very important to measure the moisture status of crops and soil, and conventionally, various systems for measuring soil moisture have been developed. (7)(8)(9)(10)(11)(12) As described above, the technology for measuring the water condition has become one of the very important issues as industrialization and automation spread in various fields.…”

Section: Introductionmentioning

confidence: 99%

Pursuing a Possibility of Fabricating Moisture Measurement Devices Using Microwaves Passing through Materials ?Proposition of Measuring Quantity of Water Level Using Microwaves Passing through the Water Tank as the First Step of Development?

Akimoto¹,

Maruyama²,

Miyagawa³

et al. 2019

Sensors and Materials

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In recent years, an increasing number of sensors are being required in various industrial or automated production techniques. In particular, the need for moisture measurement is high, but a noncontact high-precision moisture sensor has not been put to practical use. Therefore, in this research, we focused on a moisture sensor that transmits microwaves and tested two methods for evaluation and verification. In the experiment, the water in the water tank was measured using radio waves of 2.4 GHz. As a result, although measurement could not be performed with high accuracy using the received signal strength, measurement using the propagation delay time was highly accurate. This result will provide an index for the application of moisture sensors using microwaves in the future.

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Using Cloud IOT for disease prevention in precision agriculture

Cited by 87 publications

References 6 publications

Data Analytics in the Internet of Things: A Survey

Data Analytics in the Internet of Things: A Survey

Internet de las cosas aplicado a la agricultura: estado actual

Pursuing a Possibility of Fabricating Moisture Measurement Devices Using Microwaves Passing through Materials ?Proposition of Measuring Quantity of Water Level Using Microwaves Passing through the Water Tank as the First Step of Development?

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