CROP GROWTH MONITORING SYSTEM BASED ON DRONE AND LOW POWER WAN
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Smart farming is currently seen as an effective way to increase farm productivity and has gained a lot of attention from service providers. It offers a variety of applications, from identifying pests to monitoring assets. The emergence of digital technologies such as IoT and LPWANs has improved the smart farming industry, but more efficient solutions are still needed. Unmanned aerial vehicles, or drones, are increasingly being used across various civil domains, and this paper aims to create a farm monitor-ing system that combines UAVs, LPWANs, and IoT technologies. This system aims to revolutionize current farm management practices and provide farmers with valuable data for their operations. To ensure the quality of soil in farming development, a system for monitoring soil quality using IoT technology was created. The collected data from the sensors was transmitted to the cloud for analysis through a multi-channel LoRaWANÂ® gateway integrated into a drone that uses dynamice mode. Various simulations and measurements were done to develop aerial communication based on LoRaWANÂ®, and the UAV path planning was optimized to improve the efficiency of data collection.
[Ayouziayoub and Jingzhao LI (2023); CROP GROWTH MONITORING SYSTEM BASED ON DRONE AND LOW POWER WAN Int. J. of Adv. Res. 11 (Apr). 496-511] (ISSN 2320-5407). www.journalijar.com
Electrical and Information Engineering Department, AUST University, China
Article DOI: 10.21474/IJAR01/16686
DOI URL: http://dx.doi.org/10.21474/IJAR01/16686
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