LoRa-based Visual Monitoring Scheme for Agriculture IoT

Ji, Mookeun; Yoon, Juyeon; Choo, Jeongwoo; Jang, Minki; Smith, Anthony

doi:10.1109/sas.2019.8706100

Cited by 63 publications

(26 citation statements)

References 13 publications

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“…To implement the WSN, LoRa communication is chosen because it can transmit data to an Internet-connected area [21]. LoRa communication has been integrated into agriculture to capture and communicate real-time images of farms [22].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

et al. 2021

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The Internet of Things (IoT) is transforming all applications into real-time monitoring systems. Due to the advancement in sensor technology and communication protocols, the implementation of the IoT is occurring rapidly. In agriculture, the IoT is encouraging implementation of real-time monitoring of crop fields from any remote location. However, there are several agricultural challenges regarding low power use and long-range transmission for effective implementation of the IoT. These challenges are overcome by integrating a long-range (LoRa) communication modem with customized, low-power hardware for transmitting agricultural field data to a cloud server. In this study, we implemented a custom-based sensor node, gateway, and handheld device for real-time transmission of agricultural data to a cloud server. Moreover, we calibrated certain LoRa field parameters, such as link budget, spreading factor, and receiver sensitivity, to extract the correlation of these parameters on a custom-built LoRa testbed in MATLAB. An energy harvesting mechanism is also presented in this article for analyzing the lifetime of the sensor node. Furthermore, this article addresses the significance and distinct kinds of localization algorithms. Based on the MATLAB simulation, we conclude that hybrid range-based localization algorithms are more reliable and scalable for deployment in the agricultural field. Finally, a real-time experiment was conducted to analyze the performance of custom sensor nodes, gateway, and handheld devices.

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Section: Theoretical Backgroundmentioning

confidence: 99%

LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

et al. 2021

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“…However, due to the low data rates of LoRa, the transmission of video and image files may be compromised. In [22], the authors propose a visual monitoring system focused on agricultural applications that is based on sending continuous images from a camera using LoRa. A technique is presented in order to optimize the transmission of images via LoRa through which it is possible to decrease the use of bandwidth and improve performance in relation to latency.…”

Section: A Loramentioning

confidence: 99%

LoRa System for Monitoring and Facial Recognition

Medeiros

Carvalho

Lopes

2021

JCIS

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With the increasing tendency of incorporating technology into environments and activities in everyday life, new methods are being proposed to better integrate devices and mankind. Networks designed for monitoring areas through video and image systems are being implemented in several applications. Recent studies have shown interest from both the academy and industry to integrate wireless surveillance networks with lowcost and long range transmission technologies, such as LoRa (Long Range). With the intention to explore this topic, this work presents the development of a system prototype for intelligent monitoring as a basis to future implementation of low-cost LoRabased Wireless Image Sensor Networks (WISN). The developed system consists of a processing unit, a data routing interface and multiple sensor nodes. Its operation is autonomous and initiated through the detection of human presence, by the sensor node, capturing an image of the individuals present at each detection. The data is transmitted through LoRa devices to the central hub, where python-based methods of facial detection and recognition are employed. Several tests were performed to both adjust the system and to verify its efficiency. The results achieved indicate the viability of the proposed low-cost LoRa-based WISN.

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“…De hecho, LoRa ha sido implementada en investigaciones en Corea del Sur (Davcev et. al., 2018), sin embargo, ha tenido algunas desventajas como: la transferencia de datos multimedia debido a su baja velocidad y ancho de banda, no obstante, esto se puede corregir con la propuesta de Mookeun y sus colaboradores, quienes recomiendan dividir una imagen y enviar solo el marco seleccionado o área de interés para disminuir los datos a transferir (Ji et al, 2019). Paralelamente también se ha venido trabajando en otro tipo de redes como las WSAN o redes de área inalámbrica de almacenamiento, las cuales permiten recolectar los datos obtenidos de los puntos monitoreados al mismo tiempo, escalables hacia un conjunto de campos o espacios de difícil acceso y control mediante la red guiada (López, Chávez y Sánchez, 2017), disminuyendo así costos en materiales, mantenimiento y tendidos de cable.…”

Section: Internet De Las Cosas En Huertos Urbanosunclassified

Internet de las cosas en el tratamiento de variables Agro-climatológicas en huertos urbanos

López

Rojas²,

Ramos³

2021

HAMU

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El almacenamiento de datos contribuye a la predicción de posibles comportamientos en los cultivos como: sequías, heladas, lluvias constantes, plagas, aumento de la radiación solar entre otros. Incluso para la contingencia actual por medidas de aislamiento preventivo a causa del Covid, el control de datos almacenados es aún más necesario debido a que se disminuye la presencia in situ en función de la toma de datos.

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LoRa-based Visual Monitoring Scheme for Agriculture IoT

Cited by 63 publications

References 13 publications

LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

LoRa System for Monitoring and Facial Recognition

Internet de las cosas en el tratamiento de variables Agro-climatológicas en huertos urbanos

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