Development of air temperature and soil moisture monitoring systems with LoRA technology

Purnomo, Fendi Aji; Yoeseph, Nanang Maulana; Bawono, Sahirul Alim Tri; Hartono, Rudi

doi:10.1088/1742-6596/1825/1/012029

Cited by 11 publications

(8 citation statements)

References 1 publication

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“…Moreover, FIWARE can be combined with other third-party platforms to provide accessible tools to worldwide farmers and consumers too [39]. Another example is the work in [40] where low-cost, LoRa-based devices are used for soil temperature and humidity monitoring, and the data is processed and sent to the Cayenne IoT Platform for storage and visualization [41]. This platform is a drag and drop project builder for developers and engineers that can be used in different IoT applications.…”

Section: Generic Lora-based Platformsmentioning

confidence: 99%

A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

Pagano

Croce

Tinnirello

et al. 2023

IEEE Internet Things J.

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This paper provides a survey on the adoption of LoRa in the agricultural field, and reviews state-of-the-art solutions for Smart Agriculture, analyzing the potential of this technology in different infield applications. In particular, we consider four reference scenarios, namely irrigation systems, plantation and crop monitoring, tree monitoring, and livestock monitoring, which exhibit heterogeneous requirements in terms of network bandwidth, density, sensors' complexity, and energy demand, as well as latency in the decision process. We discuss how LoRa-based solutions can work in these scenarios, analyzing their scalability, interoperability, network architecture, and energyefficiency. Finally, we present possible future research directions and point out some open issues which might become the main research trends for the next years.

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Section: Generic Lora-based Platformsmentioning

confidence: 99%

A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

Pagano

Croce

Tinnirello

et al. 2023

IEEE Internet Things J.

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“…LoRa is an excellent choice for many IoT projects because of its versatility [ 22 ]. Smart girds [ 23 ], smart meters [ 24 ], smart street lights [ 25 , 26 ], smart cities [ 27 , 28 ], water quality [ 29 ], smart agriculture [ 30 – 32 ], temperature, and soil monitoring system [ 33 – 35 ] are examples of LoRA-based IoT applications. LoRA has a wider coverage zone that can be covered by a metropolitan area implementing the LoRa technology.…”

Section: Introductionmentioning

confidence: 99%

Requirements, Deployments, and Challenges of LoRa Technology: A Survey

Kamal

Alam

Sajak

et al. 2023

Computational Intelligence and Neuroscience

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LoRa is an ISM-band based LPWAN communication protocol. Despite their wide network penetration of approximately 20 kilometers or higher using lower than 14 decibels transmitting power, it has been extensively documented and used in academia and industry. Although LoRa connectivity defines a public platform and enables users to create independent low-power wireless connections while relying on external architecture, it has gained considerable interest from scholars and the market. The two fundamental components of this platform are LoRaWAN and LoRa PHY. The consumer LoRaWAN component of the technology describes the network model, connectivity procedures, ability to operate the frequency range, and the types of interlinked gadgets. In contrast, the LoRa PHY component is patentable and provides information on the modulation strategy which is being utilized and its attributes. There are now several LoRa platforms available. To create usable LoRa systems, there are presently several technical difficulties to be overcome, such as connection management, allocation of resources, consistent communications, and security. This study presents a thorough overview of LoRa networking, covering the technological difficulties in setting up LoRa infrastructures and current solutions. Several outstanding challenges of LoRa communication are presented depending on our thorough research of the available solutions. The research report aims to stimulate additional research toward enhancing the LoRa Network capacity and allowing more realistic installations.

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“…The research focuses on testing IoT devices and regression results on the magnitude of the vibration that propagates. The study did not specifically discuss environmental aspects such as soil conditions and creating vibrations [13] . The nRF24l01 network topology used is a star topology with data nodes one and two containing piezoelectric sensors sending data to node three containing environmental sensors.…”

Section: Introductionmentioning

confidence: 99%

Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR

Wedashwara

Yadnya

Sudiarta

et al. 2023

JOIV : Int. J. Inform. Visualization

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Prevention of the effects caused by natural disasters such as earthquakes and landslides requires analysis of vibration propagation. In outdoor applications, internet sources such as WIFI are not always available, so it requires alternative data communications such as nRF24l01. The system also requires a portable power source such as solar power. This research aims to develop a vibration propagation analysis system based on the nRF24l01 wireless sensor network and solar power by implementing the fuzzy rule-based regression (FRBR) algorithm. The system consists of two piezoelectric and nrf24l01 vibration sensors. The system also uses a third node equipped with temperature and soil moisture sensors, air temperature and humidity, and light intensity as environmental variables. The evaluation results show the Quality of Services (QoS) results with a throughput of 99.564%, PDR 99.675%, and a delay of 0.0073s. The Fuzzy Association Rule (FAR) extraction results yield nine rules with average support of 0.319 and confidence of 1 for vibration propagation. The availability of solar power was evaluated with an average current value of 0.250A and a voltage of 3.266V. The results of FRBR are based on the propagation of the vibration that propagated and produced a mean square error (MSE) of 0.141 and a mean absolute error (MAE) of 0.165. The correlation matrix and FAR results show that only soil moisture has a major effect on the magnitude and duration of propagation. However, other variables can regress soil moisture with MSE 0.232 and MAE 0.287.

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Development of air temperature and soil moisture monitoring systems with LoRA technology

Cited by 11 publications

References 1 publication

A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

Requirements, Deployments, and Challenges of LoRa Technology: A Survey

Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR

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