Cargando…

Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform

BACKGROUND: The knowledge of vine vegetative status within a vineyard plays a key role in canopy management in order to achieve a correct vine balance and reach the final desired yield/quality. Detailed information about canopy architecture and missing plants distribution provides useful support for...

Descripción completa

Detalles Bibliográficos
Autores principales:	Di Gennaro, Salvatore Filippo, Matese, Alessandro
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333307/ https://www.ncbi.nlm.nih.gov/pubmed/32636922 http://dx.doi.org/10.1186/s13007-020-00632-2

Ejemplares similares

Beyond the traditional NDVI index as a key factor to mainstream the use of UAV in precision viticulture
por: Matese, Alessandro, et al.
Publicado: (2021)

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture
por: Matese, Alessandro, et al.
Publicado: (2013)

UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications
por: Sousa, Joaquim J., et al.
Publicado: (2022)

Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling
por: Jiménez-Brenes, F. M., et al.
Publicado: (2017)

Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images
por: Li, Jie, et al.
Publicado: (2023)

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
por: Rueda-Ayala, Victor P., et al.
Publicado: (2019)

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery
por: Castro, Wellington, et al.
Publicado: (2020)

Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
por: Buunk, Thomas, et al.
Publicado: (2023)

Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring
por: Zhang, Liyuan, et al.
Publicado: (2019)

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture
por: Sassu, Alberto, et al.
Publicado: (2021)

Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
por: Guo, Wei, et al.
Publicado: (2015)

An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits
por: López-Granados, Francisca, et al.
Publicado: (2019)

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies
por: Nielsen, Karsten M. E., et al.
Publicado: (2022)

Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions
por: Gené-Mola, Jordi, et al.
Publicado: (2020)

The estimation of crop emergence in potatoes by UAV RGB imagery
por: Li, Bo, et al.
Publicado: (2019)

Mapping Tobacco Fields Using UAV RGB Images
por: Zhu, Xiufang, et al.
Publicado: (2019)

Ramie Yield Estimation Based on UAV RGB Images
por: Fu, Hongyu, et al.
Publicado: (2021)

Quantitative Analysis of Cotton Canopy Size in Field Conditions Using a Consumer-Grade RGB-D Camera
por: Jiang, Yu, et al.
Publicado: (2018)

Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries
por: Wang, Yueting, et al.
Publicado: (2023)

Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture
por: Rossi, Roberta, et al.
Publicado: (2013)

Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
por: Ariza-Sentís, Mar, et al.
Publicado: (2022)

Terrestrial 3D laser scanning to track the increase in canopy height of both monocot and dicot crop species under field conditions
por: Friedli, Michael, et al.
Publicado: (2016)

Model errors in tree biomass estimates computed with an approximation to a missing covariance matrix
por: Magnussen, Steen, et al.
Publicado: (2015)

Automatic kernel counting on maize ear using RGB images
por: Wu, Di, et al.
Publicado: (2020)

Multistarter from Organic Viticulture for Red Wine Montepulciano d’Abruzzo Production
por: Suzzi, Giovanna, et al.
Publicado: (2012)

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
por: Fuster-Guilló, Andrés, et al.
Publicado: (2020)

Individualization of Pinus radiata Canopy from 3D UAV Dense Point Clouds Using Color Vegetation Indices
por: Cabrera-Ariza, Antonio M., et al.
Publicado: (2022)

Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery
por: Yuan, Wenan, et al.
Publicado: (2019)

RGB image-based method for phenotyping rust disease progress in pea leaves using R
por: Osuna-Caballero, Salvador, et al.
Publicado: (2023)

TINA manual landmarking tool: software for the precise digitization of 3D landmarks
por: Schunke, Anja C, et al.
Publicado: (2012)

Explainable identification and mapping of trees using UAV RGB image and deep learning
por: Onishi, Masanori, et al.
Publicado: (2021)

An Open-Source and Low-Cost Monitoring System for Precision Enology
por: Di Gennaro, Salvatore Filippo, et al.
Publicado: (2014)

Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images
por: Li, Wei, et al.
Publicado: (2022)

Emergent Ascomycetes in Viticulture: An Interdisciplinary Overview
por: Pirrello, Carlotta, et al.
Publicado: (2019)

Disentangling the origins of viticulture in the western Mediterranean
por: Breglia, Francesco, et al.
Publicado: (2023)

Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images
por: Fernandez-Gallego, Jose A., et al.
Publicado: (2018)

RGB-D image analysis and processing
por: Rosin, Paul L, et al.
Publicado: (2019)

Assessment of intertidal seaweed biomass based on RGB imagery
por: Chen, Jianqu, et al.
Publicado: (2022)

Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice
por: Taniguchi, Shoji, et al.
Publicado: (2022)

THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature
por: Woodgate, William, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_e000qltef65tqk0c2r5osf7ugs