Drone-based Monitoring of Sunflower Crops

Keywords: agricultural monitoring, infrared imaging, sunflower, vegetation indexes, drone, agricultural monitoring, infrared imaging, sunflower, vegetation indexes, drone


Remote monitoring and utilization of digital technologies is essential for the application of the precision farming approach, which contributes significantly to the improved quality of agricultural products. The paper compares the data for six vegetation indices when observing the sunflower vegetation in South Dobrudzha in 2021. Images with RGB and digital NIR camera were obtained via a remotely piloted quadcopter. The flight plan specifies speed 8 m/s, altitude 100 m and shooting overlapping images of 80%. Six vegetation indices: NDVI, EVI2, SAVI, CVI, MGVRI and MPRI were calculated from the images obtained during the flight. The calculation of the indices takes into account the intensity of solar radiation and the parameters of the meteorological situation at the time of shooting. The findings obtained reveal a stable trend of change of the vegetation indices, thus, establishing accurate and reliable results as for the monitoring of agricultural areas with unmanned aerial vehicles.

Author Biographies

Asparuh Atanasov, Technical University of Varna, Bulgaria

dept. of Mechanics and Elements of Machines

Radko Mihaylov, Technical University of Varna, Bulgaria

dept. Mechanics and Elements of Machines

Svilen Stoyanov, Technical University of Varna, Bulgaria

dept. of Manufacturing Technologies and Machine Tools

Desislava Mihaylova, Technical University of Varna, Bulgaria

dept. of Electronic Technique and Microelectronics

Peter Benov, Technical University of Varna, Bulgaria

Dobrudgza Technological College


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How to Cite
Atanasov, A., Mihaylov, R., Stoyanov, S., Mihaylova, D., & Benov, P. (2022, May 18). Drone-based Monitoring of Sunflower Crops. ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA, 6(1), 1-9. https://doi.org/10.29114/ajtuv.vol6.iss1.258
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