Jorge Torres-Sánchez

According to our database1, Jorge Torres-Sánchez authored at least 12 papers between 2015 and 2020.

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



In proceedings 
PhD thesis 





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

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

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

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