Automated Measurement of Plant Height of Wheat Genotypes Using a DSM Derived from UAV Imagery

Proceedings

Ünal, Semih¹  Sönmez, Namık Kemal²  Akar, Taner³  Demir, Nusret⁴ 

[1] Author to whom correspondence should be addressed.;Department of Field Crops, Faculty of Agriculture, Akdeniz University, 07070 Antalya, Turkey;Department of Remote Sensing and GIS, Institute of Science and Technology, Akdeniz University, 07070 Antalya, Turkey;Department of Space Science and Technologies, Faculty of Science, Akdeniz University, 07070 Antalya, Turkey

关键词: UAV;    DEM;    precision agriculture;    wheat experiment;    plant height;   

DOI  :  10.3390/ecrs-2-05163

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

In this study, we have evaluated the use of unmanned air vehicle (UAV) photogrammetry for the monitoring of a wheat experiment under field conditions, filtered a digital surface model (DSM) to derive the wheat plant heights, and compared the results with the field measurements. The images were acquired with the use of a low-cost UAV Walkera QR350 and GoProHero3+ action camera in May 2015. In total, 477 images were acquired for quality assessment of the proposed method, and a reference dataset was collected with terrestrial fieldwork. For a comparison of field measurements with DSM-derived plant heights, the maximum calculated plant height in the plot was selected. The mean, median, and standard deviation were calculated as 4.66, 3.75, and 13.78 cm. Regarding the statistical t-test between the field measurements and plant heights from the DSM, the t-value was calculated as 1.82, and the p-value was 0.071. Because the t-value was larger than 0.50, the values between the traditional method and our approach were highly correlated.

【 授权许可】

CC BY