Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops by Leandro Rodrigues, Sandro Augusto Magalhães, Daniel Queirós da Silva, Filipe Neves dos Santos, Mário Cunha

Get full text

Edge AI-Based Tree Trunk Detection for Forestry Monitoring Robotics by Daniel Queirós da Silva, Filipe Neves dos Santos, Vítor Filipe, Armando Jorge Sousa, Paulo Moura Oliveira

Get full text

Unimodal and Multimodal Perception for Forest Management: Review and Dataset by Daniel Queirós da Silva, Filipe Neves dos Santos, Armando Jorge Sousa, Vítor Filipe, José Boaventura-Cunha

Get full text

YOLO-Based Tree Trunk Types Multispectral Perception: A Two-Genus Study at Stand-Level for Forestry Inventory Management Purposes by Daniel Queiros da Silva, Filipe Neves Dos Santos, Vitor Filipe, Armando Jorge Sousa, E. J. Solteiro Pires

Get full text

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions by Isabel Pinheiro, Germano Moreira, Daniel Queirós da Silva, Sandro Magalhães, António Valente, Paulo Moura Oliveira, Mário Cunha, Filipe Santos

Get full text

Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis by Francisco Oliveira, Daniel Queirós da Silva, Vítor Filipe, Tatiana Martins Pinho, Mário Cunha, José Boaventura Cunha, Filipe Neves dos Santos

Get full text

Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards by Daniel Queirós da Silva, André Silva Aguiar, Filipe Neves dos Santos, Armando Jorge Sousa, Danilo Rabino, Marcella Biddoccu, Giorgia Bagagiolo, Marco Delmastro

Get full text