THE ROLE OF DRONE TECHNOLOGY IN AGRICULTURE
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Abstract
Drone technology is increasingly being used in agriculture to help farmers manage their crops more efficiently and effectively. Drones equipped with cameras and other sensors can provide farmers with real-time data on crop health, soil moisture, and other factors that affect crop growth and yield. One of the key benefits of drone technology in agriculture is its ability to collect large amounts of data quickly and easily, allowing farmers to make more informed decisions about how to manage their crops. For example, drones can be used to create detailed maps of crop fields, identifying areas that need more or less water, fertilizer, or pesticides. Drones can also be used to monitor crops for signs of disease or pest infestations, allowing farmers to take action before the problem becomes widespread. This can help to reduce crop losses and improve yields. Another advantage of drone technology in agriculture is its ability to cover large areas of land quickly and easily, even in difficult terrain or weather conditions. This can save farmers time and labor costs, as well as reduce the need for heavy equipment and other resources.
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References
W. Wang, P. Bai, H. Li, X. Liang, Optimal Configuration and Path Planning for UAVS warms Using a Novel Localization Approach. Appl. Sci. 2018, 8, 1001.
L. Pan, Q. Lu, K. Yin, B. Zhang, “Signal Source Localization of Multiple Robots Using an Event-Triggered Communication Scheme”. Appl. Sci. 2018, 8, 977.
K.B. Lee, Y.J Kim., Y.D. Hong, “Real -Time Swarm Search Method for Real-World Quadcopter Drones.” Appl. Sci. 2018, 8, 1169.
H. Ge, G. Chen, G. Xu, “Multi -AUV Cooperative Target Hunting Based on Improved Potential Field in a Surface-Water Environment”. Appl. Sci. 2018, 8, 973.
X. Jin, J. Kim, “3D Model Identification Using Weighted Implicit Shape Representation and Panoramic View”. Appl. Sci. 2017, 7, 764.
L. Cheng, X.H. Wu, Y. Wang, “Artificial Flora (AF) Optimization Algorithm”. Appl. Sci. 2018, 8, 329.
M. M. Vihari, U. R. Nelakuditi and M. P. Teja, "IoT based Unmanned Aerial Vehicle system for Agriculture applications," 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2018, pp. 26-28, doi: 10.1109/ICSSIT.2018.8748794.
A. K. Saha et al., "IOT-based drone for improvement of crop quality in agricultural field," 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, 2018, pp. 612-615, doi: 10.1109/CCWC.2018.8301662.