José M. Peña
Orcid: 0000-0003-4592-3792Affiliations:
- Spanish National Research Council, Institute of Agricultural Sciences, Madrid, Spain
- Consejo Superior de Investigaciones Científicas, Institute for Sustainable Agriculture, Cordoba, Spain
According to our database1,
José M. Peña
authored at least 23 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on publons.com
-
on orcid.org
-
on ias.csic.es
On csauthors.net:
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
Remote. Sens., 2021
2020
A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the 'Cipolla Rossa di Tropea' (Italy).
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
2019
Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley.
Sensors, 2019
Watson on the Farm: Using Cloud-Based Artificial Intelligence to Identify Early Indicators of Water Stress.
Remote. Sens., 2019
2018
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery.
Remote. Sens., 2018
Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California.
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
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
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
2010
A logistic radial basis function regression method for discrimination of cover crops in olive orchards.
Expert Syst. Appl., 2010
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