MONITORING AGRICULTURAL CROPS THROUGH DRONE TECHNOLOGY

Main Article Content

Rana Hani A.Rahman Azzam
Jaloliddin Yigitaliev

Abstract

Monitoring agricultural crops with the help of unmanned aerial vehicles has been becoming increasingly popular in recent years. Drones, also known as unmanned aerial vehicles (UAVs), can capture high-resolution images and video of agricultural crops, allowing farmers to collect important data on plant health, growth patterns and potential problems. This technology can help farmers to identify areas of their fields that require special attention, for example areas requiring additional irrigation, fertiliser or pest control. Drones can also detect early signs of crop diseases, which can be crucial for preventing the spread of a disease to other parts of the field. In addition, drones can also help farmers to increase yields by providing data on the condition and growth of crops, which can be used to make decisions on crop management practices. This may include adjusting planting density, irrigation schedules and fertiliser application rates. Monitoring agricultural crops with unmanned technologies can revolutionise the way farmers manage their fields. By providing data and analysis in real time, drones can help farmers to make more informed decisions that will ultimately lead to higher yields and more efficient use of resources.

Article Details

Section

Articles

How to Cite

MONITORING AGRICULTURAL CROPS THROUGH DRONE TECHNOLOGY. (2023). Research Focus International Scientific Journal, 2(4), 19-23. https://doi.org/10.66073/researchfocus.v2i4.89

References

C. Atzberger, “Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs,” Remote Sensing, vol. 5, no. 2, pp. 949–981, Feb.2013, doi: 10.3390/rs5020949.

R. Tanwar, “BIS Research: UAV Delivery Systems and UAV Application of Formulation & Adjuvant Technologies”(AgroPages), May. 20, 2019

W. Shuan, A. Haizhou and H. Kezhong, "Difference image based on multiple moving targets detection and tracking", Journal of Image and Graphics, vol. 4, no. 6, pp. 470-474, 1999.

L. Hongwen, Y. Zuoliang, T. Dan and L. Guohui, "Prospects and Current Studies on Background Subtraction Techniques for Moving Objects Detection from Surveillance Video", National University of Defense Technology, vol. 25, no. 3, pp. 66-69, 2003.

A. C. Shastry and R. A. Schowengerdt, "Airborne video registration and traffic-flow parameter estimation," in IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 4, pp. 391-405, Dec. 2005, doi: 10.1109/TITS.2005.858621..

C. Constantinides and P. Parkinson, "Security challenges in UAV development," 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, 2008, pp. 1.C.1-1-1.C.1-8, doi: 10.1109/DASC.2008.4702757.

V. Dey, V. Pudi, A. Chattopadhyay and Y. Elovici, "Security Vulnerabilities of Unmanned Aerial Vehicles and Countermeasures: An Experimental Study," 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID), 2018, pp. 398-403, doi: 10.1109/VLSID.2018.97..

S. Liao, Dji drones can get past no-fly zones thanks to this Russian software company [online], 2017, https://www.theverge.com/ 2017/6/21/15848344/drones-russian-software-hack-dji-jailbreak.