An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Trilles, Sergio; González‐Pérez, Alberto; Huerta, Joaquín

doi:10.3390/s20082418

Cited by 70 publications

(46 citation statements)

References 46 publications

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“…The observations captured were transferred to a central server where, through an analysis platform [21], the main component, called Influx, is able to analyse the time-series of the observations following the defined models in (near) real-time. More specifically, the Kapacitor component is the one that is able to follow the models and issue the possible alerts.…”

Section: Discussionmentioning

confidence: 99%

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Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

2019

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Weather conditions are one of the main threats that can lead to diseases in crops. Unfavourable conditions, such as rain or high humidity, can produce a risk of fungal diseases. Meteorological monitoring is vital to have some indication of a possible infection. The literature contains a wide variety of models for warning for this type of disease.These are capable of warning when an infection may be present. Devices (weather stations) able to measure weather conditions in real-time are needed to know precisely when an infection occurs in a smallholding. Besides, such models cannot be executed at the same time in which the observations are collected; in fact, these models are usually executed in batches at a rate of one per day. Therefore, these models need to be adapted to run at the same frequency as that at which observations are collected so that a possible disease can be dealt with as early as possible. The primary aim of this work is to adapt disease warning models to run in (near) real-time over meteorological variables generated by Internet of Things (IoT) devices, in order to inform farmers as quickly as possible if their crop is in danger of being infected by diseases, and to enable them to tackle the infection with the appropriate treatments. The work is centered on vineyards and has been tested in four different smallholdings in the province of Castellón (Spain).

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Section: Discussionmentioning

confidence: 99%

“…The models detailed above were developed within the SEnviro Connect platform described in [21]. In general, this platform is responsible for collecting the observations from the IoT nodes.…”

Section: Senviro Connectmentioning

confidence: 99%

Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

2019

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“…At the hardware level (the purple part in Figure 12), we can locate the presented IoT node. If we look at SEnviro at the software level (the blue part in Figure 12), we find the SEnviro connect [38]. It provides a technological solution to manage and analyze IoT data.…”

Section: Senviro Connectmentioning

confidence: 99%

“…This component is based on a RabbitMQ instance. All components listed in the Figure 12 are detailed in [38].…”

Section: Senviro Connectmentioning

confidence: 99%

A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards

2018

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The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today's society, among which is the empowerment of citizens, called makers, who are themselves able to generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards.

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“…According to Statista’s [ 8 ] research institutions, there will be 31 billion connected devices by 2020 and 75 billion devices by 2025, which shows that the overall ecological development is rapid. While many IoT service platforms [ 9 , 10 , 11 ] have been developed to integrate these devices in recent years, most of them are nonstandard service and management architectures, which have potential security issues.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services

Huang

2020

Sensors

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Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. A smart Internet of Things (IoT) system is formed by combining the communication capabilities of the internet with control, monitoring and identification services to integrate people, things and objects. However, in some IoT environments that have a weak signal, such as remote areas, warehouses or basements, the network may become unstable, meaning that the IoT system is unable to provide efficient services. This paper therefore presents a framework that ensures the reliability of IoT system services so that even if the IoT system cannot connect to the network, the system can provide the services offline. To avoid increasing the installation cost or replacing existing traditional devices with modern smart devices, this framework can also be used to control traditional devices. The system operation is convenient because users can operate all their smart and traditional devices under the IoT system through voice commands and/or a handheld microcontroller, thus reducing the manual operation of the user. The framework proposed in this paper can be applied to various smart scenarios, including smart warehouses, smart restaurants, smart homes, smart farms and smart factories, to improve people’s quality of life and convenience, and create a humane and comfortable smart living environment.

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An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Cited by 70 publications

References 46 publications

Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes

A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards

A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services

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