[HTML][HTML] Remote sensing vegetation indices in viticulture: A critical review

R Giovos, D Tassopoulos, D Kalivas, N Lougkos… - Agriculture, 2021 - mdpi.com
One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

E Vaudour, E Costantini, GV Jones, S Mocali - Soil, 2015 - soil.copernicus.org
Notions of terroir and their conceptualization through agro-environmental sciences have
become popular in many parts of world. Originally developed for wine, terroir now …

[HTML][HTML] Practical applications of a multisensor UAV platform based on multispectral, thermal and RGB high resolution images in precision viticulture

A Matese, SF Di Gennaro - Agriculture, 2018 - mdpi.com
High spatial ground resolution and highly flexible and timely control due to reduced
planning time are the strengths of unmanned aerial vehicle (UAV) platforms for remote …

[HTML][HTML] Using 3D point clouds derived from UAV RGB imagery to describe vineyard 3D macro-structure

M Weiss, F Baret - Remote Sensing, 2017 - mdpi.com
In the context of precision viticulture, remote sensing in the optical domain offers a potential
way to map crop structure characteristics, such as vegetation cover fraction, row orientation …

[HTML][HTML] A low-cost and unsupervised image recognition methodology for yield estimation in a vineyard

SF Di Gennaro, P Toscano, P Cinat, A Berton… - Frontiers in plant …, 2019 - frontiersin.org
Yield prediction is a key factor to optimize vineyard management and achieve the desired
grape quality. Classical yield estimation methods, which consist of manual sampling within …

[HTML][HTML] The role of LAI and leaf chlorophyll on NDVI estimated by UAV in grapevine canopies

G Caruso, G Palai, L Tozzini, C D'Onofrio, R Gucci - Scientia Horticulturae, 2023 - Elsevier
Despite the wide use of the Normalized Difference Vegetation Index (NDVI) in precision
viticulture, there are no studies aimed at discriminating the contribution of plant biomass …

[HTML][HTML] Predicting grape sugar content under quality attributes using normalized difference vegetation index data and automated machine learning

A Kasimati, B Espejo-García, N Darra, S Fountas - Sensors, 2022 - mdpi.com
Wine grapes need frequent monitoring to achieve high yields and quality. Non-destructive
methods, such as proximal and remote sensing, are commonly used to estimate crop yield …

Estimating biophysical and geometrical parameters of grapevine canopies ('Sangiovese') by an unmanned aerial vehicle (UAV) and VIS-NIR cameras

G Caruso, L Tozzini, G Rallo, J Primicerio, M Moriondo… - Vitis, 2017 - arpi.unipi.it
Three zones of different vine vigour were identified in a mature vineyard (Vitis
vinifera'Sangiovese') to test the potential of the Visible-Near Infrared (VIS-NIR) spectral …

[HTML][HTML] Technologies and innovative methods for precision viticulture: a comprehensive review

MV Ferro, P Catania - Horticulturae, 2023 - mdpi.com
The potential of precision viticulture has been highlighted since the first studies performed in
the context of viticulture, but especially in the last decade there have been excellent results …

[HTML][HTML] Remote and proximal sensing-derived spectral indices and biophysical variables for spatial variation determination in vineyards

N Darra, E Psomiadis, A Kasimati, A Anastasiou… - Agronomy, 2021 - mdpi.com
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring,
and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in …