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Generally, the variation of meteorological conditions has a significant influence on the agriculture
sector. In Tanzania, most of the existing automatic meteorological stations are not working, and
during the data collection the surveyed manual meteorological stations record meteorological data
in the cards daily, but cards are sent in a month to month time interval to the respective organs, this
makes the concept of early warning difficult. Therefore, having near-real-time meteorological data
will enable crop monitoring and forecasting systems to monitor crop development and provide early
warning to the farmers and the government. The advancement of the Internet of Things (IoT) offers
possibilities for developing an integrated sensors network to collect meteorological data on a near real-time basis. In his study, the developed integrated sensor network includes sensors, which
record remote meteorological data such as rainfall, humidity and temperature, a communication
network, and a web application that enhance data visualisation in both graphical and tabular format.
In the communication system, the LoRa technology was used, which is preferable compared to
other Low Power Wide Area Network (LPWAN), technologies such as NB-IoT and SigFox for this
application. The developed system uses the LoRa Gateway Operating system which provides
capabilities to build a private network, and make it more cost-efficient by reducing the operation
cost for account subscription, in online platforms such as The Things Network (TTN), ThingPark,
ThingSpeak, and Loriot to avoid free accounts limitations. Moreover, the developed system can
work in remote areas with limited Internet access as the meteorological stations can communicate
with the gateway at a distance of up to 25 km. |
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