Literature DB >> 33535445

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture.

Alberto Sassu1, Filippo Gambella1, Luca Ghiani1, Luca Mercenaro1, Maria Caria1, Antonio Luigi Pazzona1.   

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.

Entities:  

Keywords:  3D vineyard characterization; UAS; canopy height model; precision farming; precision viticulture; remote sensing; sustainability of resources; vegetation index; vineyard detection and segmentation

Year:  2021        PMID: 33535445     DOI: 10.3390/s21030956

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Grape Cluster Detection Using UAV Photogrammetric Point Clouds as a Low-Cost Tool for Yield Forecasting in Vineyards.

Authors:  Jorge Torres-Sánchez; Francisco Javier Mesas-Carrascosa; Luis-Gonzaga Santesteban; Francisco Manuel Jiménez-Brenes; Oihane Oneka; Ana Villa-Llop; Maite Loidi; Francisca López-Granados
Journal:  Sensors (Basel)       Date:  2021-04-28       Impact factor: 3.576

2.  In-Field Automatic Detection of Grape Bunches under a Totally Uncontrolled Environment.

Authors:  Luca Ghiani; Alberto Sassu; Francesca Palumbo; Luca Mercenaro; Filippo Gambella
Journal:  Sensors (Basel)       Date:  2021-06-05       Impact factor: 3.576

3.  Assessment of Vineyard Canopy Characteristics from Vigour Maps Obtained Using UAV and Satellite Imagery.

Authors:  Javier Campos; Francisco García-Ruíz; Emilio Gil
Journal:  Sensors (Basel)       Date:  2021-03-29       Impact factor: 3.576

  3 in total

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