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      Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

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          Abstract

          New technologies for management, monitoring, and control of spatio-temporal crop variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors able to provide useful data for the improvement of management efficiency and the optimization of inputs. unmanned aerial systems (UASs) are the newest and most versatile tools, characterized by high precision and accuracy, flexibility, and low operating costs. The work aims at providing a complete overview of the application of UASs in precision viticulture, focusing on the different application purposes, the applied equipment, the potential of technologies combined with UASs for identifying vineyards’ variability. The review discusses the potential of UASs in viticulture by distinguishing five areas of application: rows segmentation and crop features detection techniques; vineyard variability monitoring; estimation of row area and volume; disease detection; vigor and prescription maps creation. Technological innovation and low purchase costs make UASs the core tools for decision support in the customary use by winegrowers. The ability of the systems to respond to the current demands for the acquisition of digital technologies in agricultural fields makes UASs a candidate to play an increasingly important role in future scenarios of viticulture application.

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                01 February 2021
                February 2021
                : 21
                : 3
                : 956
                Affiliations
                Department of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy; asassu@ 123456uniss.it (A.S.); lghiani@ 123456uniss.it (L.G.); mercenar@ 123456uniss.it (L.M.); mariac@ 123456uniss.it (M.C.); pazzona@ 123456uniss.it (A.L.P.)
                Author notes
                [* ]Correspondence: gambella@ 123456uniss.it ; Tel.: +39-079-22-9281
                Author information
                https://orcid.org/0000-0003-1010-3495
                https://orcid.org/0000-0002-7536-3901
                https://orcid.org/0000-0002-4636-8957
                https://orcid.org/0000-0002-6393-958X
                Article
                sensors-21-00956
                10.3390/s21030956
                7867093
                33535445
                8e80239d-f095-4334-ae70-bb9353003b34
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 December 2020
                : 28 January 2021
                Categories
                Review

                Biomedical engineering
                uas,vegetation index,3d vineyard characterization,canopy height model,precision farming,precision viticulture,remote sensing,sustainability of resources,vineyard detection and segmentation

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