Development of a Real-Time Framework for Farm Monitoring Using Drone Technology

Adekunle Oyelami, Adedayo Akinade, Kingsley Obianefo

Abstract


This work developed a cost-effective framework for agriculturists to regularly monitor their crops against intruding rodents and other security concerns using modern drone technology through configuration and deployment of an autonomous UAV which also functions as a Remotely Piloted Vehicle. This was done by configuring a quadcopter capable of causing a disturbance when a rodent is observed through an inbuilt alarm system whose sound is amplified to be loud enough to cause the animals to leave the farm area. A framework for real-time image and live video transmission from the farm to a designated remote base station was developed. This was achieved through programming codes that configured the drone to operate an intelligent alarm and object tracking systems which enables a live feed from the UAV using Arduino IDE and Mission Planner for autonomous flight control. The requisite algorithms were developed using the framework of Tracking, Learning and Detection (TLD) in the openCV software. The drone movement is equally controlled remotely over a Wi-Fi network using an ESP8266 Wi-Fi module for redirection and controlling of the drone movement to monitor specific locations.


Keywords


Mission Planner; Remotely Piloted Vehicle; Quadcopter; UAV; Framework

References


A. M. Bappy, M. D. Asfak-Ur-Rafi, M. D. Islam, A. Sajjad and I. K. N. S. P. K. , " Design and Development of Unmanned Aerial Vehicle (Drone) for Civil Applications," Electrical & Electronic Engineering, Bachelor o., 2015.

M. Hassanalian and A. Abdelkefi, "Classifications, applications, and design challenges of drones: A review,," Progress in Aerospace Sciences, vol. 9, no. 1, p. 99–131, 2017. https://doi.org/10.1016/j.paerosci.2017.04.003

M. Bryson, A. Reid, F. Ramos and S. Sukkarieh, "Airborne vision-based mapping and classification of large farmland environments," Journal of Field Robotics, vol. 27, no. 5, p. 632–655, 2010. https://doi.org/10.1002/rob.20343

R. Ventura and P. U. Lima, "Search and rescue robots: The civil protection teams of the future.," in Proceedings - 3rd International Conference on Emerging Security Technologies, EST , 2012. https://doi.org/10.1109/EST.2012.40

FAO United-Nations, "The future of food and agriculture: Trends and challenges," Food and Agriculture Organization of the United Nations., 2017. http://www.fao.org/3/a-i6583e.pdf

R. Giacomo and G. David, "Unmanned Aerial Systems (UAS) in Agriculture: Regulations and Good Practices," E-Agriculture in Action: Drones for Agriculture, 2017.

K. J. Campbell, J. Beek, C. T. Eason, A. S. Glen, J. Godwin, F. Gould and G. S. Baxter, "The next generation of rodent eradications: Innovative technologies and tools to improve species specificity and increase their feasibility on islands," Biological Conservation, vol. 18, no. 5, p. 47–58, 2015. https://doi.org/10.1016/j.biocon.2014.10.016

A. O. Agbeyangi, J. O. Odiete and A. B. Olorunlomerue, "Review on UAVs used for Aerial Surveillance," Journal of Multidisciplinary Engineering Science and Technology, vol. 3, no. 10, p. 5713–5719, 2016.

B. Babu, K. K. and J. D. Nallasivam, "Modeling of Unmanned Surveillance Aircraft," Modeling of Unmanned Surveillance Aircraft , 2017.

S. Ward, J. Hensler, B. Alsalam and L. F. Gonzalez, "Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision," in IEEE Aerospace Conference Proceedings, 2016. https://doi.org/10.1109/AERO.2016.7500671

G. Lereno and S. Vale, "Raspberry Drone ," Unmanned Aerial Vehicle ( UAV ), 2015.

A. Mazur, " Autonomous operation and control of a Multirotor Unmanned Aerial Vehicle through 4G LTE using onboardGPS and image processing," Alexander Mazur, 2014. http://robotics.ee.uwa.edu.au/theses/2014-Hexacopter-Interface-Mazur.pdf

X. Shen, J. Fan and H. Wang, "Design and simulation of eight-rotor unmanned aerial vehicle based on hybrid control system," International Journal of Aerospace Engineering, 2018. https://doi.org/10.1155/2018/5306125




DOI: http://doi.org/10.11591/ijra.v9i4.pp%25p
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.