Author(s): Lakshmi J V N

Email(s): lakshmijvn@jainuniversity.ac.in

DOI: 10.52711/2349-2988.2021.00018   

Address: Dr. Lakshmi J V N
Associate Professor, Jain University, Bangalore.
*Corresponding Author

Published In:   Volume - 13,      Issue - 2,     Year - 2021


ABSTRACT:
Unmanned Aerial Vehicles usage has significantly improved in all the sectors. Various industries are using drones as a platform for development with eco- nomic investment. Drastic advancement in design, flexibility, equipment and technical improvements has a great impact in creating airborne domain of IoT. Hence, drones have become a part of farming industry. Indian agriculture economy concentrates more on producing rice as this is considered as a staple food in various states. For increasing the production of rice sensors are equipped in the fields to track the water supply and humidity components. Whereas, identifying weeds, early stages of disease detection, recognizing failed crops, spraying fertilizers and continuous monitoring from bleats, locust and other dangerous insects are some of the technical collaboration with UAVs with respect farming sector. However, use of UAVs in real time environment involves many security and privacy challenges. In order to preserve UAVs from external vulnerabilities and hacking the collaborative environment requires a tough security model. In this proposed article a framework is implemented applying FIBOR security model on UAVs to suppress the threats from data hackers and protect the data in cloud from attackers. This proposed model enabled with drone technology provides a secured framework and also improves the crop yield by 15% by adapting a controlled network environment.


Cite this article:
Lakshmi J V N. Security enabled UAVs for Tech-Agriculture monitoring rice crops using FIBOR architecture. Research Journal of Science and Technology. 2021; 13(2):119-6. doi: 10.52711/2349-2988.2021.00018

Cite(Electronic):
Lakshmi J V N. Security enabled UAVs for Tech-Agriculture monitoring rice crops using FIBOR architecture. Research Journal of Science and Technology. 2021; 13(2):119-6. doi: 10.52711/2349-2988.2021.00018   Available on: https://rjstonline.com/AbstractView.aspx?PID=2021-13-2-9


REFERENCES:
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2.    L. Thomas, A. Vasileios, B. Stamatia and S. Panagioti, "UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things”," MDPI - Sensors, pp. 4015-4036, 2018.
3.    W. Sjaak, A. LanGe, V. Cor and B. Marc-Jeroen, "Big Data in Smart Farming - A review," Agricultural Systems - Elsevier, pp. 69-81, 2017.
4.    S. Xiaojie, A. Xingshuang, Z. Qingxue, L. Huimin and X. Lianming, "State-of-the-Art Internet of Things in Protected Agriculture," Sensors - MDPI, pp. 1-24, 2019.
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