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Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities., , , , , и . Remote. Sens., 12 (6): 1046 (2020)Towards Modern Cost-effective and Lightweight Augmented Reality Setups., , , , , и . Int. J. Web Portals, 7 (2): 33-59 (2015)E-Commerce: A Brief Historical and Conceptual Approach., , , и . Int. J. Web Portals, 6 (3): 52-60 (2014)Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry., , , , , , и . Remote. Sens., 9 (11): 1110 (2017)Contextualized Ubiquity: A new opportunity for rendering business information and services., , , , и . J. Theor. Appl. Electron. Commer. Res., 5 (3): 55-64 (2010)Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle., , , , , , и . EPIA (1), том 11804 из Lecture Notes in Computer Science, стр. 248-257. Springer, (2019)FouSE: An Android Tool to Help in the Teaching of Fourier Series Expansions in Undergraduate Education., , , , , и . CSEDU, стр. 166-171. SciTePress, (2013)Target Influence on Ground Control Points (GCPs) Identification in Aerial Images., , , , , и . IGARSS, стр. 6487-6490. IEEE, (2020)A pilot digital image processing approach for detecting vineyard parcels in Douro region through high-resolution aerial imagery., , , , , и . ICGDA, стр. 67-71. ACM, (2018)Very high resolution aerial data to support multi-temporal precision agriculture information management., , , , , , и . CENTERIS/ProjMAN/HCist, том 121 из Procedia Computer Science, стр. 407-414. Elsevier, (2017)