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

被引：1

作者：

Atanasov, Asparuh I. ^{[1
]}

Atanasov, Atanas Z. ^{[2
]}

机构：

[1] Tech Univ Varna, Varna, Bulgaria

[2] Univ Ruse Angel Kanchev, Ruse 7017, Bulgaria

来源：

INMATEH-AGRICULTURAL ENGINEERING | 2024年 / 73卷 / 02期

关键词：

precision agriculture; remote sensing; UAV; vegetation indices; NDVI;

D O I：

10.35633/inmateh-73-38

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

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 variety, highlighting 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.

引用

页码：453 / 462

页数：10

共 14 条

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