Pregled bibliografske jedinice broj: 1260974
Tracking phenological changes in different crops using unmanned aerial vehicle
Tracking phenological changes in different crops using unmanned aerial vehicle // Book of Abstracts 58th Croatian & 18th International Symposium on Agriculture / Carović-Stanko, Klaudija ; Širić, Ivan (ur.).
Dubrovnik: Agronomski fakultet Sveučilišta u Zagrebu, 2023. str. 225-225 (predavanje, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Tracking phenological changes in different crops
using unmanned aerial vehicle
Autori
Poštek, Ana ; Brezinščak, Luka ; Kisić, Ivica
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts 58th Croatian & 18th International Symposium on Agriculture
/ Carović-Stanko, Klaudija ; Širić, Ivan - Dubrovnik : Agronomski fakultet Sveučilišta u Zagrebu, 2023, 225-225
Skup
58th Croatian & 18th International Symposium on Agriculture
Mjesto i datum
Dubrovnik, Hrvatska, 11.02.2022. - 17.02.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
precision agriculture, vegetation indices, UAV
Sažetak
Sustainable and profitable crop production is often challenged by abiotic and biotic stress. But with advancement of technology in precision agriculture, application of innovative sensors for data acquiring provided rapid and simplified decision-making tool for timely intervention during vegetation period. Aim of this study is to track phenological dynamics of important continental field crops (wheat, barley, corn, soybean, oats) in area of Experiment Station Šašinovec (University of Zagreb Faculty of Agriculture) using high-tech tool such as UAVs. For acquiring needed information, we used DJI Phantom 4 multispectral drone. This type of high- precision drone, equipped with a multispectral camera array with 5 cameras is widely used for gathering precise, plant-level data. During the growing season there were three different times of data collection. Gathered data was processed with computer software Pix4D Fields, an advanced agriculture mapping software. Using the software, we generated different vegetation indices, such as: NDVI, VARI, TGI, SIPI2, LCI and MCARI. The indices analyse how plants reflect light on a near-infrared spectrum. From several possibilities of indices, we chose Normalized difference vegetation index (NDVI) values as it could give distinguishable results between crops and phenological phases. The goal of the research was to explore the added value of the UAV in the test-area which resulted with the possibility for improving crop production. Furthermore, this research will set the foundation for future collaboration between agricultural experts and scientists.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)