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 …

Internet of things for agricultural applications: The state of the art

T Ojha, S Misra… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The advent of the Internet of Things (IoT) inspired various new and enhanced sets of
applications in multiple domains including agriculture. The recent drive in the adoption of IoT …

Comparison of satellite and UAV-based multispectral imagery for vineyard variability assessment

A Khaliq, L Comba, A Biglia, D Ricauda Aimonino… - Remote Sensing, 2019 - mdpi.com
In agriculture, remotely sensed data play a crucial role in providing valuable information on
crop and soil status to perform effective management. Several spectral indices have proven …

Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture

L Comba, A Biglia, DR Aimonino, P Gay - Computers and electronics in …, 2018 - Elsevier
An effective management of precision viticulture processes relies on robust crop monitoring
procedures and, in the near future, to autonomous machine for automatic site-specific crop …

UAV and machine learning based refinement of a satellite-driven vegetation index for precision agriculture

V Mazzia, L Comba, A Khaliq, M Chiaberge, P Gay - Sensors, 2020 - mdpi.com
Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …

Spectral comparison of UAV-Based hyper and multispectral cameras for precision viticulture

SF Di Gennaro, P Toscano, M Gatti, S Poni, A Berton… - Remote sensing, 2022 - mdpi.com
Analysis of the spectral response of vegetation using optical sensors for non-destructive
remote monitoring represents a key element for crop monitoring. Considering the wide …

Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery

L Comba, A Biglia, D Ricauda Aimonino, C Tortia… - Precision …, 2020 - Springer
Abstract The Leaf Area Index (LAI) is an ecophysiology key parameter characterising the
canopy-atmosphere interface where most of the energy fluxes are exchanged. However …

Experimenting agriculture 4.0 with sensors: A data fusion approach between remote sensing, UAVs and self-driving tractors

V Barrile, S Simonetti, R Citroni, A Fotia, G Bilotta - Sensors, 2022 - mdpi.com
Geomatics is important for agriculture 4.0; in fact, it uses different types of data (remote
sensing from satellites, Unmanned Aerial Vehicles-UAVs, GNSS, photogrammetry, laser …

Vineyard variability analysis through UAV-based vigour maps to assess climate change impacts

L Pádua, P Marques, T Adão, N Guimarães, A Sousa… - Agronomy, 2019 - mdpi.com
Climate change is projected to be a key influence on crop yields across the globe.
Regarding viticulture, primary climate vectors with a significant impact include temperature …

Mapping vineyard vigor using airborne remote sensing: relations with yield, berry composition and sanitary status under humid climate conditions

M Ferrer, G Echeverría, G Pereyra… - Precision …, 2020 - Springer
The aim of this study was to assess the spatial variability of plant vigor in a vineyard in a
humid climate. Normalised Difference Vegetation Index (NDVI) was used for relating the …