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Harnessing Fanet For Next-Gen Agricultural Innovation
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The rapid advancement of networking and wireless communication technology has helped the development of low-cost Unmanned Aerial Vehicles (UAVs), which are likely to occupy a significant section of the air shortly. When configured as an ad hoc network, UAVs may be successfully employed for complex tasks, developing well-known flying ad hoc networks (FANETs). Such networks cannot be built unless an efficient networking architecture allows for reliable data flow between UAVs. Wireless sensor networks (WSNs) and vehicular ad hoc networks (VANETs), both subcategories of mobile ad hoc networks (MANETs), have many similar characteristics to FANET. The difference between other networks and UAV networks is, the mobility model used to deploy UAVs in sky depending upon their intended application. Due to the dynamic topology of FANETs and their unique flight constraints, developing robust routing systems for such aerial networks is not trivial. This paper combines precision agriculture with FANET (Flying Ad-Hoc Network) technology to enhance safe farm management. With FANET, artificial intelligence and autonomous capabilities are used to create a scalable network of UAVs that enables real-time data collection.
Title: Harnessing Fanet For Next-Gen Agricultural Innovation
Description:
The rapid advancement of networking and wireless communication technology has helped the development of low-cost Unmanned Aerial Vehicles (UAVs), which are likely to occupy a significant section of the air shortly.
When configured as an ad hoc network, UAVs may be successfully employed for complex tasks, developing well-known flying ad hoc networks (FANETs).
Such networks cannot be built unless an efficient networking architecture allows for reliable data flow between UAVs.
Wireless sensor networks (WSNs) and vehicular ad hoc networks (VANETs), both subcategories of mobile ad hoc networks (MANETs), have many similar characteristics to FANET.
The difference between other networks and UAV networks is, the mobility model used to deploy UAVs in sky depending upon their intended application.
Due to the dynamic topology of FANETs and their unique flight constraints, developing robust routing systems for such aerial networks is not trivial.
This paper combines precision agriculture with FANET (Flying Ad-Hoc Network) technology to enhance safe farm management.
With FANET, artificial intelligence and autonomous capabilities are used to create a scalable network of UAVs that enables real-time data collection.
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