Experience in using mathcad to analyze data from UAVS for remote sensing of crops

N. A. Pasichnyk, O. O. Opryshko, D. S. Komarchuk, V. O. Miroshnyk

Анотація


Illuminated results of experimental shooting of plantings of plants using UAV, with further calculation of graphic data in the software environment MathCAD .The analysis of the use of different channels of shooting, also the decision about the filtering of received images from third-party objects, especially the ground, is presented.  Such results are obtained: mathematical software MathCAD can be used effectively for the analysis of graphic data obtained during monitoring of UAV plantations. When organizing an image from third parties, especially the soil, it is expedient to use the data on all measuring channels at the same time. The green channel is sufficiently informative to recognize areas that do not correspond to plants.


Ключові слова


remote monitoring, UAV, unmanned aerial vehicles, vegetation cover, spectral shooting, MathCAD software, filtering of images

Повний текст:

PDF (English)

Посилання


Clevers. J. G.P.W. (2018). Hyperspectral Remote Sensing: Fundamentals and Practices. International Journal of Applied Earth Observation and Geoinformation, 67, 96-97.

Zhou, J., Pavek, M., Shelton, S., Holden, Z., Sankaran, S. (2016). Aerial multispectral imaging for crop hail damage assessment in potato. Computers and Electronics in Agriculture, 127, 406–412.

Baresel, J., Rischbeck, P., Hua, Y., Kipp, S., Hua, Y., Barmeier, G., Mistele, B. (2017). Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat. Computers and Electronics in Agriculture, 140, 25–33.

Lysenko, V. P, Opryshko, O. O, Komarchuk, D. S., Pasichnyk, N. A., Zaets, N. A., Dudnyk, A. O. (2017). Usage of flying robots for monitoring nitrogen in wheat crops. The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. Bucharest (Romania), 30-34. DOI: 10.1109/IDAACS.2017.8095044.

Kim, J., Glenn D. (2017). Multi-modal sensor system for plant water stress assessment. Computers and Electronics in Agriculture, 141, 27–34.

Lysenko, V. P, Opryshko, O. O, Komarchuk, D. S., Pasichnyk, N. A. (2016). Kalibruvannia fotokamery BPLA dlia potreb lystovoi diahnostyky [Drones camera calibration for the leaf research]. Scientific Bulletin of the National University of Life and Environmental Sciences of Ukraine, 252, 61-65.

Lysenko, V. P, Opryshko, O. O, Komarchuk, D. S., Pasichnyk, N. A., Zaets, N. A. (2017). Determination of the not uniformity of illumination in process monitoring of wheat crops by UAVs. The 4th International Scientific Practical Conference Problems of Infocommunications: Science and technology (PIC S&T), Kharkov (Ukraine), 265-267. DOI: 10.1109/INFOCOMMST.2017.8246394) http://ieeexplore.ieee.org/document/8246394/


Метрики статей

Завантаження метрик ...

Metrics powered by PLOS ALM

Посилання

  • Поки немає зовнішніх посилань.