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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)

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Open-Source Indoor Navigation System Adapted to Users with Motor Disabilities., , и . DSAI, том 67 из Procedia Computer Science, стр. 38-47. Elsevier, (2015)Grapevine Varieties Classification Using Machine Learning., , , , , , , , и . EPIA (1), том 11804 из Lecture Notes in Computer Science, стр. 186-199. Springer, (2019)Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles., , , , и . CENTERIS/ProjMAN/HCist, стр. 626-633. Elsevier, (2022)Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs., , , , , , , , , и . Remote. Sens., 10 (1): 24 (2018)The viStaMPS tool for visualization and manipulation of time series interferometric results., , , , и . Comput. Geosci., (2013)Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data., , , , , , , и . IGARSS, стр. 9063-9066. IEEE, (2018)Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach., , , и . EPIA, том 12981 из Lecture Notes in Computer Science, стр. 16-26. Springer, (2021)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)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)Digital Ampelographer: A CNN Based Preliminary Approach., , , , , , , , и . EPIA (1), том 11804 из Lecture Notes in Computer Science, стр. 258-271. Springer, (2019)