Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops. - Dionisio Andújar; Ángela Ribeiro; César Fernández-Quintanilla; José Dorado (Sensors, 2011)

Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks. - Jesús Conesa-Muñoz; Angela Ribeiro; Dionisio Andujar; César Fernández-Quintanilla; José Dorado (IEEE Congress on Evolutionary Computation, 2012)

An Ultrasonic System for Weed Detection in Cereal Crops. - Dionisio Andújar; Martin Weis; Roland Gerhards (Sensors, 2012)

Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor. - Dionisio Andújar; Victor Rueda-Ayala; Hugo Moreno; Joan Ramón Rosell Polo; Alexandre Escolà; Constantino Valero; Roland Gerhards; César Fernández-Quintanilla; José Dorado; Hans Werner Griepentrog (Sensors, 2013)

Development and Testing of a Decision Making Based Method to Adjust Automatically the Harrowing Intensity. - Victor Rueda-Ayala; Martin Weis; Martina Keller; Dionisio Andújar; Roland Gerhards (Sensors, 2013)

Efficient Distribution of a Fleet of Heterogeneous Vehicles in Agriculture: A Practical Approach to Multi-path Planning. - Jesús Conesa-Muñoz; José M. Bengochea-Guevara; Dionisio Andújar; Ángela Ribeiro (ICARSC, 2015)

Matching the Best Viewing Angle in Depth Cameras for Biomass Estimation Based on Poplar Seedling Geometry. - Dionisio Andújar; César Fernández-Quintanilla; José Dorado (Sensors, 2015)

A Non-Chemical System for Online Weed Control. - Victor Rueda-Ayala; Gerassimos Peteinatos; Roland Gerhards; Dionisio Andújar (Sensors, 2015)

Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops. - Dionisio Andujar; Angela Ribeiro; César Fernández-Quintanilla; José Dorado (Comput. Electron. Agric., 2016)

Route planning for agricultural tasks: A general approach for fleets of autonomous vehicles in site-specific herbicide applications. - Jesás Conesa-Muñoz; José M. Bengochea-Guevara; Dionisio Andujar; Angela Ribeiro (Comput. Electron. Agric., 2016)

An Approach to the Use of Depth Cameras for Weed Volume Estimation. - Dionisio Andújar; José Dorado; César Fernández-Quintanilla; Angela Ribeiro (Sensors, 2016)

Merge Fuzzy Visual Servoing and GPS-Based Planning to Obtain a Proper Navigation Behavior for a Small Crop-Inspection Robot. - José M. Bengochea-Guevara; Jesús Conesa-Muñoz; Dionisio Andujar; Angela Ribeiro (Sensors, 2016)

3D Monitoring of Woody Crops Using a Medium-Sized Field Inspection Vehicle. - José M. Bengochea-Guevara; Dionisio Andújar; Francisco L. Sanchez-Sardana; Karla Cantuña; Angela Ribeiro (ROBOT (2), 2017)

Influence of Wind Speed on RGB-D Images in Tree Plantations. - Dionisio Andújar; José Dorado; José M. Bengochea-Guevara; Jesús Conesa-Muñoz; César Fernández-Quintanilla; Ángela Ribeiro (Sensors, 2017)

Spatial Analysis of Digital Imagery of Weeds in a Maize Crop. - Carolina San Martín; Alice E. Milne; Richard Webster; Jonathan Storkey; Dionisio Andújar; César Fernández-Quintanilla; José Dorado (ISPRS Int. J. Geo Inf., 2018)

Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry. - Dionisio Andújar; Mikel Calle; César Fernández-Quintanilla; Ángela Ribeiro; José Dorado (Sensors, 2018)

A Low-Cost Approach to Automatically Obtain Accurate 3D Models of Woody Crops. - José M. Bengochea-Guevara; Dionisio Andújar; Francisco L. Sanchez-Sardana; Karla Cantuña; Angela Ribeiro (Sensors, 2018)

An Autonomous Guided Field Inspection Vehicle for 3D Woody Crops Monitoring. - José M. Bengochea-Guevara; Dionisio Andújar; Karla Cantuña; Celia Garijo-Del-Río; Angela Ribeiro (ROBOT (1), 2019)

Aerial imagery or on-ground detection? An economic analysis for vineyard crops. - Dionisio Andújar; Hugo Moreno; José M. Bengochea-Guevara; Ana de Castro; Angela Ribeiro (Comput. Electron. Agric., 2019)

Low-Cost Three-Dimensional Modeling of Crop Plants. - Jorge Martínez-Guanter; Ángela Ribeiro; Gerassimos Peteinatos; Manuel Pérez-Ruiz; Roland Gerhards; José M. Bengochea-Guevara; Jannis Machleb; Dionisio Andújar (Sensors, 2019)

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley. - Victor Rueda-Ayala; José M. Peña 003; Mats Höglind; José M. Bengochea-Guevara; Dionisio Andújar (Sensors, 2019)

SPARKLE e-Learning Platform for Sustainable Precision Agriculture. - Thomas Bournaris; Andreas Mattas; Anastasios Michailidis; Dionisio Andujar; Manuela Correia; Valentina De Pascale; Manuela Díaz; Belén Diezma; Alessandro Guadagni; Eugenia Karamouzi; Jeremy Karouta; Anne Krus; et al. (HAICTA, 2020)

Sensor-based mechanical weed control: Present state and prospects. - Jannis Machleb; Gerassimos Peteinatos; Benjamin Kollenda; Dionisio Andújar; Roland Gerhards (Comput. Electron. Agric., 2020)

Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks. - Gerassimos Peteinatos; Philipp Reichel; Jeremy Karouta; Dionisio Andújar; Roland Gerhards (Remote. Sens., 2020)

Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception. - Hugo Moreno; Victor Rueda-Ayala; Angela Ribeiro; José M. Bengochea-Guevara; Juan Lopez; Gerassimos Peteinatos; Constantino Valero; Dionisio Andújar (Sensors, 2020)

On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System. - Hugo Moreno; Constantino Valero; José M. Bengochea-Guevara; Ángela Ribeiro; Miguel Garrido Izard; Dionisio Andújar (Sensors, 2020)

Collaborative Harvest Robot. - Maria Nuria Conejero; Héctor Montes; Dionisio Andujar; José Maria Bengochea-Guevara; Angela Ribeiro (ROBOT (2), 2022)

An Overview of Precision Weed Mapping and Management Based on Remote Sensing. - Dionisio Andujar; Jorge Martínez-Guanter (Remote. Sens., 2022)

Proximal sensing for geometric characterization of vines: A review of the latest advances. - Hugo Moreno; Dionisio Andújar (Comput. Electron. Agric., 2023)

Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks. - Hugo Moreno; Adrià Gómez; Sergio Altares-López; Angela Ribeiro; Dionisio Andújar (Comput. Electron. Agric., 2023)

Towards a true conservation zero tillage system: "A proposed solution based on computer vision to herbicide resistance.". - Juan Manuel López-Correa; Hugo Moreno; Diego Sebastián Pérez; Facundo Bromberg; Dionisio Andújar (Comput. Electron. Agric., 2024)

A collaborative robotic fleet for yield mapping and manual fruit harvesting assistance. - Maria Nuria Conejero; Héctor Montes; José M. Bengochea-Guevara; Laura Garrido-Rey; Dionisio Andújar; Angela Ribeiro (Comput. Electron. Agric., 2025)