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A LoRa-based Low Power Wide Area Network Application for Agricultural Weather Monitoring

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Abstract (2. Language): 
Meteorological events (hail, frost, snowfall, flood, drought and storms) have a major influence on the agriculture by affecting crop production. Knowing real-time weather condition parameters like air temperature and humidity, barometric pressure, light intensity, rain, speed and direction of wind gives the best possible yield and quality in agricultural production. This study presents a LoRa technology based wide area network (WAN) application for weather monitoring in agricultural fields. In proposed system, the weather stations with several sensors are placed over large-scale agricultural area. Each weather station collects the data of the connected sensors and send it to the gateway at a distance of up to 1500 meters. The gateway then relays the collected data to the network server. The farmers can be access the weather data from anywhere through the web-enabled devices. Our goal is to examine the feasibility of the LoRa-based LPWAN technologies and provide a flexible solution for future works on the IoT applications in precision agriculture.
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REFERENCES

References: 

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