Technical Journal, Vol. 19 No. 4, 2025.
Original scientific paper
https://doi.org/10.31803/tg-20241002085211
Application of an Unmanned Aerial System (UAS) for Precise Fertilization
Ivan Plaščak
orcid.org/0000-0001-8700-4773
; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Mladen Jurišić
orcid.org/0000-0002-8105-6983
; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Irena Rapčan,
; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Valentina Stanić
; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Dorijan Radočaj
; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
*
* Corresponding author.
Abstract
The unmanned aerial system (UAS) eBee Plus, the eMotion guidance software and the Pix4dfields data processing software were investigated on two plots of wheat in PPK Valpovo. By using normalized difference vegetation index (NDVI), application maps for nitrogen fertilizer were obtained, which resulted in the saving of nitrogen fertilizer applied in the feeding of this crop. This guidance and data processing software has proven to be easy to use and suitable for agricultural crop producers who own larger areas to grow. The average grain yield of the Gabrio variety (7.92 t/ha) by eight individual plots, with an emphasis on plot 9A-4, had the average grain yield of this variety of 8.48 t/ha, which is 6.61% higher yield than the average of this variety on these plots. Multi-year research and direct comparison of multi-year parameters obtained from the plots results in an increasingly expedient and optimal use of resources for work and an increase in the quantity and quality of products.
Keywords
nitrogen fertilization; normalized difference vegetation index; precision agriculture; unmanned aerial vehicle; vegetation index
Hrčak ID:
335258
URI
Publication date:
15.12.2025.
Visits: 422 *