This study investigates the automatic classification of crop phenological stages from low-altitude UAV RGB imagery. The dataset included 11,489 images of five crops: sunflower, rapeseed, soybean, wheat, and barley. The images were annotated using the Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie (B...
R. Mukhamediev, V. Smurygin, Liudmila Gorodetskaya et al.· Drones· 0 citations
This study analyzes air pollution by fine particulate matter (PM2.5) in Almaty, the largest megacity of Kazakhstan. The city is located in a basin formed by the spurs of the Zailiyskiy Alatau range. Due to its geographical features, it is highly exposed to pollution by anthropogenic fine particulate matter. The main so...
R. Mukhamediev, A. Symagulov, Ku-Chin I. Yan et al.· Hydrometeorology and ecology· 0 citations
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