Keywords: precision agriculture, quadcopter, RGB images, variety wheat


In June 2019, a drone image recording was performed equipped with an RGB camera on an experimental wheat field at an interval of seven days three times a day. Within one day (12.06.2019) information was collected about the weather conditions and eight measurements were made every hour. The commonly accepted indices were calculated: VARIgreen and ExG for the one-month and one-day observations of the received RGB digitized information. A regression model was created for a full factor experiment of type 23. The interaction of the factors that characterize the conditions of the video was evaluated. Conclusions were formulated as to the influence of the factors under which the observations were made. A recommendation was made with regard to which part of the day it is most appropriate to take photos and video surveillance of wheat.


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How to Cite
Mihajlow, R., & Ivanova, A. (2019, December 31). DRONE VIDEO CAPTURE – A NEW METHOD IN PRECISION AGRICULTURE. ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA, 3(2), 32-38. https://doi.org/10.29114/ajtuv.vol3.iss2.141
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