Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network

Zhao, Ming; Ye, R.F.; Hsu, Chih‐Yu; Chen, Yen-Chun; Chen, Zi-Yu

doi:10.3390/s23104809

Cited by 8 publications

(1 citation statement)

References 39 publications

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“…In forest settings, additional challenges arise due to signal instability, necessitating the implementation of multiple transmission methods. One such method is Low-Power Wide-Area Network communication, which facilitates device communication in remote areas with weak signals, as explored by Zhao (2023) [93]. A critical aspect of this approach is ensuring that the entire network connects to a location with reliable internet access for data transmission.…”

Section: Sensor Network Operationmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

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Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-quality data, underscoring the pivotal role of sensor-based data acquisition in the digital transformation of forestry. However, the complexity and challenging conditions of forest environments often impede data collection efforts. Achieving the full potential of smart forestry necessitates a comprehensive integration of sensor technologies throughout the process chain, ensuring the production of standardized, high-quality data essential for AI applications. This paper highlights the symbiotic relationship between human expertise and the digital transformation in forestry, particularly under challenging conditions. We emphasize the human-in-the-loop approach, which allows experts to directly influence data generation, enhancing adaptability and effectiveness in diverse scenarios. A critical aspect of this integration is the deployment of autonomous robotic systems in forests, functioning both as data collectors and processing hubs. These systems are instrumental in facilitating sensor integration and generating substantial volumes of quality data. We present our universal sensor platform, detailing our experiences and the critical importance of the initial phase in digital transformation—the generation of comprehensive, high-quality data. The selection of appropriate sensors is a key factor in this process, and our findings underscore its significance in advancing smart forestry.

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Section: Sensor Network Operationmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

View full text Add to dashboard Cite

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IoT Based Models in Healthy Natural Resource Management: Healthy Soils for Healthy Food Productions

Kumar,

Shanthakumar,

Banerjee

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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LORA Based Forest Fire Monitoring System

Saida,

Sreedhar,

Samreen

et al. 2023

E3S Web Conf.

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The LoRa-based forest fire monitoring method by using wireless type networks is an IoT system designed to detect and prevent forest fires. The system consists of sensor nodes which are deployed throughout the forest to monitor various environmental conditions such as humidity, temperature, wind speed and direction. These sensor nodes are equipped with LoRa radios that enable them to communicate wirelessly with a central gateway. The Gateway gathers the data from the sensor nodes and transmits it to a server in the cloud for processing and analysis. The system utilizes machine learning algorithms to analyse the collected data and detect any anomalies that may indicate the forest fire. In the event of a fire, the system can alert local authorities and fire departments, providing them with real-time information about the location and severity of the fire. This allows for faster response times and more efficient management of the fire. The LoRa-based forest fire prevention system using wireless networks offers several advantages over traditional forest fire detection systems. Its low-power, long-range capabilities enable it to cover large areas, making it ideal for monitoring vast forested areas. Additionally, its wireless connectivity eliminates the need for physical infrastructure such as cables, which can be expensive and time-consuming to install. Overall, the LoRa-based forest fire prevention system using wireless networks is a promising solution for preventing and managing forest fires. Its innovative use of IoT technology and machine learning algorithms can help to reduce the impact of forest fires and protect both human life and the environment.

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Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network

Cited by 8 publications

References 39 publications

Sensors for Digital Transformation in Smart Forestry

Sensors for Digital Transformation in Smart Forestry

IoT Based Models in Healthy Natural Resource Management: Healthy Soils for Healthy Food Productions

LORA Based Forest Fire Monitoring System

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