ARBI BAMLLARI1*, LEDIO ZAJMI2*
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1 COO & CO-FOUNDER / SKAITECH sh.p.k – Nr 33, 12th floor, 2nd Tower, Blv. Deshmoret e Kombit, 1001, Tirana, Albania * Corresponding author; E-mail: arbi.bamllari@skaitech.al; ledio.zajmi@skaitech.al Abstract Nowadays, we use drones extensively in several research and industrial applications. For the first time in Albania, the revolutionary technology of multispectral drone analysis for vegetation condition and health, has been implemented. This method consists in obtaining aerial images, by deploying drones in a very short time, processing the data, and then generating vegetation indices, index maps, zonation, reports and measure areas. Multispectral images enable us to identify and monitor crop conditions, which can be used for proper decision making in precision agriculture. The two key techniques used for crop analysis are the Visible Atmospheric Resistance Index (VARI) and the Triangular Greenness Index (TGI). These indices provide basic data on the amount of leaf coverage and the presence of chlorophyll respectively. The subject which was taken in the study was AgroIliria Farm located in the Karavasta Lagoon, Fier, with an area of 60 Ha. As one of the largest pomegranate fruit export farms outside the territory of Albania, a full multispectral drone analysis was necessary. Taking into account the uniformity of the analyzed soil, from the study conducted, it was noted that in some areas, the vegetation indices of greenness and chlorophyll were not uniform. Keywords: Drone, Precision Agriculture, Multispectral Analysis, Unmanned Aerial Vehicles (UAV), Crop Analysis, |