Cargando…

Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

The aim of this research was to implement a methodology through the generation of a supervised classifier based on the Mahalanobis distance to characterize the grapevine canopy and assess leaf area and yield using RGB images. The method automatically processes sets of images, and calculates the area...

Descripción completa

Detalles Bibliográficos
Autores principales:	Diago, Maria-Paz, Correa, Christian, Millán, Borja, Barreiro, Pilar, Valero, Constantino, Tardaguila, Javier
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Molecular Diversity Preservation International (MDPI) 2012
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571822/ https://www.ncbi.nlm.nih.gov/pubmed/23235443 http://dx.doi.org/10.3390/s121216988

Ejemplares similares

vitisFlower(®): Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques
por: Aquino, Arturo, et al.
Publicado: (2015)

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
por: Gutiérrez, Salvador, et al.
Publicado: (2018)

Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
por: Gutiérrez, Salvador, et al.
Publicado: (2015)

Solar ultraviolet radiation is necessary to enhance grapevine fruit ripening transcriptional and phenolic responses
por: Carbonell-Bejerano, Pablo, et al.
Publicado: (2014)

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions
por: Palacios, Fernando, et al.
Publicado: (2019)

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

Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements
por: Fernández, Roemi, et al.
Publicado: (2013)

Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy
por: Diago, Maria P., et al.
Publicado: (2018)

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

Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception
por: Moreno, Hugo, et al.
Publicado: (2020)

On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard
por: Fernández-Novales, Juan, et al.
Publicado: (2019)

Localization and subcellular association of Grapevine Pinot Gris Virus in grapevine leaf tissues
por: Tarquini, Giulia, et al.
Publicado: (2017)

RGB-image method enables indirect selection for leaf spot resistance and yield estimation in a groundnut breeding program in Western Africa
por: Sie, Emmanuel Kofi, et al.
Publicado: (2022)

Soybean leaf estimation based on RGB images and machine learning methods
por: Li, Xiuni, et al.
Publicado: (2023)

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images
por: Dritsas, Elias, et al.
Publicado: (2022)

Absolute Quantification of Grapevine Red Blotch Virus in Grapevine Leaf and Petiole Tissues by Proteomics
por: Buchs, Natasha, et al.
Publicado: (2018)

Skewed distribution of leaf color RGB model and application of skewed parameters in leaf color description model
por: Chen, Zhengmeng, et al.
Publicado: (2020)

Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models
por: Sarkar, Sayantan, et al.
Publicado: (2021)

A novel method for maize leaf disease classification using the RGB-D post-segmentation image data
por: Nan, Fei, et al.
Publicado: (2023)

Definition of Linear Color Models in the RGB Vector Color Space to Detect Red Peaches in Orchard Images Taken under Natural Illumination
por: Teixidó, Mercè, et al.
Publicado: (2012)

UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation
por: Wittstruck, Lucas, et al.
Publicado: (2020)

Corrigendum: Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models
por: Sarkar, Sayantan, et al.
Publicado: (2022)

Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies
por: Pastore, Chiara, et al.
Publicado: (2022)

Latent developmental and evolutionary shapes embedded within the grapevine leaf
por: Chitwood, Daniel H., et al.
Publicado: (2015)

Mitochondria Change Dynamics and Morphology during Grapevine Leaf Senescence
por: Ruberti, Cristina, et al.
Publicado: (2014)

Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image
por: Ma, Yiru, et al.
Publicado: (2022)

Metabolite profile data of grapevine plants with brown wood streaking and grapevine leaf stripe (esca complex disease) symptoms
por: Goufo, Piebiep, et al.
Publicado: (2021)

Classification and localization of maize leaf spot disease based on weakly supervised learning
por: Yang, Shuai, et al.
Publicado: (2023)

Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II
por: Frioni, Tommaso, et al.
Publicado: (2023)

Growth, Yield and Fruit Quality of Grapevines under Organic and Biodynamic Management
por: Döring, Johanna, et al.
Publicado: (2015)

Increases in vein length compensate for leaf area lost to lobing in grapevine
por: Migicovsky, Zoë, et al.
Publicado: (2022)

Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image
por: Zhang, Pei, et al.
Publicado: (2023)

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions †
por: Gutiérrez, Salvador, et al.
Publicado: (2016)

Vineyard water status assessment using on-the-go thermal imaging and machine learning
por: Gutiérrez, Salvador, et al.
Publicado: (2018)

A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway
por: Shim, Jaeseok, et al.
Publicado: (2023)

Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey
por: Uddin, Md Kamal, et al.
Publicado: (2023)

Development of an In Vitro Methodology to Assess the Bioequivalence of Orally Disintegrating Tablets Taken without Water
por: Takagi, Toshihide, et al.
Publicado: (2023)

Minimal versus Intensive: How the Pruning Intensity Affects Occurrence of Grapevine Leaf Stripe Disease, Wood Integrity, and the Mycobiome in Grapevine Trunks
por: Kraus, Christian, et al.
Publicado: (2022)

Estimation of soybean yield parameters under lodging conditions using RGB information from unmanned aerial vehicles
por: Bai, Dong, et al.
Publicado: (2022)

High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
por: Zhang, Huichun, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_j25du57ijgll8588qltamqqf69