EVALUATION OF THE CORRELATION BETWEEN THE COLOR OF DIFFERENT WHEAT VARIETIES AND WEATHER CONDITIONS USING RGN UAV-BASED IMAGES

Author:

ATANASOV Asparuh I.1,ATANASOV Atanas Z.2

Affiliation:

1. Technical University of Varna, / Bulgaria; ORCID 0000-0001-9898-8472

2. University of Ruse “Angel Kanchev”, 7017 Ruse, / Bulgaria

Abstract

The present work investigates the dependences between weather conditions and the specific characteristics of nine wheat varieties and the reflection of light spectra. The obtained images captured with an unmanned aerial vehicle UAV model DJI Mavic 2 Pro and RGN camera reflect the state of vegetation of wheat varieties depending on environmental factors and the specific morphological features of each variety. The differences are analyzed and presented by varieties, the relationship between the factors through reflected light and the condition of the investigated winter wheat varieties. The study provides valuable information for future research on the influence of meteorological conditions on the accuracy of the results obtained with UAV imaging.

Publisher

INMA Bucharest-Romania

Reference14 articles.

1. Andonova-Vakarelska, T. (2017). Approbation of the methodology for experimental research and processing of results in automated production, XXVI ISTC "ADP-2017", Collection of reports, pp. 417-422, (in Bulgarian).

2. Angelova, T., Goranova, Z., Petrova, T., Ruskova, M., Penov, N., Simitchiev, A., Zhonisova, M. (2022). Influence of some process parameters on the water solubility index of chickpea extrudates, Journal of Mountain Agriculture on the Balkans (JMAB), Vol 25, Issue 4, pp. 335-348, (in Bulgarian).

3. Atanasov, A., Bankova, A., Zhecheva, G. (2023ª). Observation of the vegetation processes of agricultural crops using small unmanned aerial vehicles in Dobrudja region. Bulgarian Journal of Agricultural Science, 29 (No 1), pp.176–181. https://agrojournal.org/29/01-21.html

4. Atanasov, A., Bankova, A., Zhecheva, G. (2023b). Result Processing Methodology for the Vegetation Processes Remote Sensing by a Small Unmanned Aerial Vehicle, Bulgarian Journal of Agricultural Science, 29 (No 3), pp. 564–569. https://agrojournal.org/29/03-22.html

5. Atanasov, A., Mihova, G., Mihaylov, R. (2022). Applicability and efficiency of remote sensing of agricultural areas. Bulgarian Journal of Agricultural Science, 28 (5), pp. 933–943, ISSN 1310-0351. http://www.agrojournal.org/28/05-21.pdf

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