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Sandro Augusto Costa Magalhães

AuthID: R-00H-S5T

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Confirmed Publications: 30

1

TITLE: A review of advanced controller methodologies for robotic manipulators
AUTHORS: Tinoco, Vitor ; Silva, Manuel F. ; Santos, Filipe N. ; Morais, Raul; Magalhaes, Sandro A. ; Oliveira, Paulo Moura ;
PUBLISHED: 2025, SOURCE: INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL, VOLUME: 13, ISSUE: 1

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2

TITLE: BVE + EKF: A Viewpoint Estimator for the Estimation of the Object's Position in the 3D Task Space Using Extended Kalman Filters
AUTHORS: Sandro Costa Magalhães ; António Paulo Moreira ; Filipe Neves dos Santos ; Jorge Dias;
PUBLISHED: 2024, SOURCE: 21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024 in Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024, Porto, Portugal, November 18-20, 2024, Volume 2., VOLUME: 2

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3

TITLE: Deep learning based approach for actinidia flower detection and gender assessment Full Text
AUTHORS: Pinheiro, Isabel ; Moreira, Germano; Magalhaes, Sandro ; Valente, Antonio ; Cunha, Mario ; dos Santos, Filipe Neves ;
PUBLISHED: 2024, SOURCE: SCIENTIFIC REPORTS, VOLUME: 14, ISSUE: 1

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4

TITLE: Harvesting with active perception for open-field agricultural robotics
AUTHORS: Sandro A Costa Magalhães ;
PUBLISHED: 2024

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5

TITLE: MonoVisual3DFilter: 3D tomatoes' localisation with monocular cameras using histogram filters
AUTHORS: Magalhaes, Sandro Augusto Costa ; dos Santos, Filipe Neves ; Moreira, Antonio Paulo ; Dias, Jorge Manuel Miranda;
PUBLISHED: 2024, SOURCE: ROBOTICA, VOLUME: 42, ISSUE: 8

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6

TITLE: Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification Full Text
AUTHORS: Silva, F. M. ; Queiros, C.; Pereira, M.; Pinho, T.; Barroso, T.; Magalhaes, S. ; Boaventura, J. ; Santos, F. ; Cunha, M. ; Martins, R. C. ;
PUBLISHED: 2024, SOURCE: COMPUTERS AND ELECTRONICS IN AGRICULTURE, VOLUME: 224

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7

TITLE: Automated Infield Grapevine Inflorescence Segmentation Based on Deep Learning Models
AUTHORS: Germano Moreira ; Sandro Augusto Magalhães ; Filipe Neves dos Santos ; Mário Cunha ;
PUBLISHED: 2023, SOURCE: IECAG 2023

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8

TITLE: Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models Full Text
AUTHORS: Magalhaes, Sandro Costa ; dos Santos, Filipe Neves ; Machado, Pedro; Moreira, Antonio Paulo ; Dias, Jorge;
PUBLISHED: 2023, SOURCE: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, VOLUME: 117, ISSUE: Part

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9

TITLE: Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops
AUTHORS: Rodrigues, Leandro ; Magalhaes, Sandro Augusto ; da Silva, Daniel Queiros ; dos Santos, Filipe Neves ; Cunha, Mario ;
PUBLISHED: 2023, SOURCE: AGRONOMY-BASEL, VOLUME: 13, ISSUE: 2

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10

TITLE: Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions
AUTHORS: Pinheiro, Isabel ; Moreira, Germano ; da Silva, Daniel Queiros ; Magalhaes, Sandro ; Valente, Antonio ; Oliveira, Paulo Moura ; Cunha, Mario ; Santos, Filipe ;
PUBLISHED: 2023, SOURCE: AGRONOMY-BASEL, VOLUME: 13, ISSUE: 4

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