Francisca López-Granados

Orcid: 0000-0001-9165-7558

According to our database1, Francisca López-Granados authored at least 23 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Mobile terrestrial laser scanner <i>vs</i>. UAV photogrammetry to estimate woody crop canopy parameters - Part 2: Comparison for different crops and training systems.
Comput. Electron. Agric., September, 2023

Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 1: Methodology and comparison in vineyards.
Comput. Electron. Agric., September, 2023

2021
Grape Cluster Detection Using UAV Photogrammetric Point Clouds as a Low-Cost Tool for Yield Forecasting in Vineyards.
Sensors, 2021

2020
Classification of 3D Point Clouds Using Color Vegetation Indices for Precision Viticulture and Digitizing Applications.
Remote. Sens., 2020

Monitoring Vineyard Canopy Management Operations Using UAV-Acquired Photogrammetric Point Clouds.
Remote. Sens., 2020

Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture.
Remote. Sens., 2020

2018
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery.
Remote. Sens., 2018

3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications.
Remote. Sens., 2018

2016
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery.
Expert Syst. Appl., 2016

Machine learning paradigms for weed mapping via unmanned aerial vehicles.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution.
Sensors, 2015

Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping.
Sensors, 2015

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management.
Remote. Sens., 2015

An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops.
Comput. Electron. Agric., 2015

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method.
Appl. Soft Comput., 2015

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Object-Based Image Classification of Summer Crops with Machine Learning Methods.
Remote. Sens., 2014

2013
Semiautomatic Detection of Artificial Terrestrial Targets for Remotely Sensed Image Georeferencing.
IEEE Geosci. Remote. Sens. Lett., 2013

2012
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification.
Neurocomputing, 2012

A multi-objective neural network based method for cover crop identification from remote sensed data.
Expert Syst. Appl., 2012

2010
A logistic radial basis function regression method for discrimination of cover crops in olive orchards.
Expert Syst. Appl., 2010

2009
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008


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