Embedded LoRaWAN for agricultural sensing applications
Recently, the concept of the wireless sensor network in agriculture spread around the world to help farmers to enhance the productivity and quality by continuously monitoring the crops development. In contrast, the environment of farms does not assist the implementation of IoT because of the di...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80896/1/80896_%20Embedded%20LoRaWAN%20for%20Agricultural%20Sensing_conference%20%281%29.pdf http://irep.iium.edu.my/80896/2/80896_%20Embedded%20LoRaWAN%20for%20Agricultural%20Sensing_scopus.pdf http://irep.iium.edu.my/80896/ https://ieeexplore.ieee.org/document/9117346 |
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| Summary: | Recently, the concept of the wireless sensor
network in agriculture spread around the world to help
farmers to enhance the productivity and quality by
continuously monitoring the crops development. In contrast,
the environment of farms does not assist the implementation of
IoT because of the difficulty to find the power supply.
Sometimes, farmers face some difficulty to track their plants
because of types of the environment. For example, the desert
and high temperature, and the tropical forest and rainy
seasons incur harsh operating scenarios. Therefore, this work
aims to create a system that helps farmers to track their crops
remotely using LoRaWAN technology. The features of the
system are very low power consumption and large coverage
area of the signal which are the most important features
suitable for farming environment. The sensors help give a very
important information to farmers too. The work began with
selecting the appropriate, cost-effective sensors to be deployed.
Then, a design or integration was proposed for the system and
the associated peripherals. The system will comprise of a LoRa
node, is responsible for collecting data from the sensors, and a
LoRa Gateway, that is accountable for receiving the data, to
send it to The Things Network (TTN) server. So, the Arduino
code will be used to program the sensor to collect data and
send it to the gateway to be displayed on TTN. In addition,
with the help of integration between the TTN and the Ubidots,
the data can be easily analyzed and monitored from the
website and the app of Ubidots. Later, the field test
implemented on plant for almost one week, to demonstrated
the ability of the proposed system to work. |
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