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Sandro Magalhães
Sandro Magalhães
Other namesSandro Augusto Magalhães, Sandro Costa Magalhães
Faculty of Engineering, University of Porto and INESC TEC
Verified email at inesctec.pt - Homepage
Title
Cited by
Cited by
Year
Evaluating the single-shot multibox detector and YOLO deep learning models for the detection of tomatoes in a greenhouse
SA Magalhães, L Castro, G Moreira, FN Dos Santos, M Cunha, J Dias, ...
Sensors 21 (10), 3569, 2021
1162021
Path planning for ground robots in agriculture: A short review
LC Santos, FN Santos, EJS Pires, A Valente, P Costa, S Magalhães
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
1022020
Benchmark of deep learning and a proposed HSV colour space models for the detection and classification of greenhouse tomato
G Moreira, SA Magalhães, T Pinho, FN dos Santos, M Cunha
Agronomy 12 (2), 356, 2022
552022
Grape bunch detection at different growth stages using deep learning quantized models
AS Aguiar, SA Magalhães, FN Dos Santos, L Castro, T Pinho, J Valente, ...
Agronomy 11 (9), 1890, 2021
432021
Path planning approach with the extraction of topological maps from occupancy grid maps in steep slope vineyards
L Santos, FN Santos, S Magalhães, P Costa, R Reis
2019 IEEE international conference on autonomous robot systems and …, 2019
252019
A review of pruning and harvesting manipulators
V Tinoco, MF Silva, FN Santos, LF Rocha, S Magalhães, LC Santos
2021 IEEE International Conference on Autonomous Robot Systems and …, 2021
172021
Path planning algorithms benchmarking for grapevines pruning and monitoring
SA Magalhães, FN dos Santos, RC Martins, LF Rocha, J Brito
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
152019
Active perception fruit harvesting robots—A systematic review
SA Magalhães, AP Moreira, FN Santos, J Dias
Journal of Intelligent & Robotic Systems 105 (1), 14, 2022
112022
Deep learning YOLO-based solution for grape bunch detection and assessment of biophysical lesions
I Pinheiro, G Moreira, D Queirós da Silva, S Magalhães, A Valente, ...
Agronomy 13 (4), 1120, 2023
92023
Tomato detection using deep learning for robotics application
TC Padilha, G Moreira, SA Magalhães, FN dos Santos, M Cunha, ...
Progress in Artificial Intelligence: 20th EPIA Conference on Artificial …, 2021
92021
Computer vision and deep learning as tools for leveraging dynamic phenological classification in vegetable crops
L Rodrigues, SA Magalhães, DQ da Silva, FN dos Santos, M Cunha
Agronomy 13 (2), 463, 2023
82023
Metbots: metabolomics robots for precision viticulture
RC Martins, S Magalhães, P Jorge, T Barroso, F Santos
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
82019
An overview of pruning and harvesting manipulators
V Tinoco, MF Silva, FN Santos, A Valente, LF Rocha, SA Magalhães, ...
Industrial Robot: the international journal of robotics research and …, 2022
62022
End-effectors for harvesting manipulators-state of the art review
F Oliveira, V Tinoco, S Magalhães, FN Santos, MF Silva
2022 IEEE International Conference on Autonomous Robot Systems and …, 2022
62022
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
SC Magalhães, FN dos Santos, P Machado, AP Moreira, J Dias
Engineering Applications of Artificial Intelligence 117, 105604, 2023
52023
PixelCropRobot, a cartesian multitask platform for microfarms automation
F Terra, L Rodrigues, S Magalhães, F Santos, P Moura, M Cunha
2021 International Symposium of Asian Control Association on Intelligent …, 2021
52021
Grape bunch and vine trunk dataset for deep learning object detection
AS Aguiar, S Magalhaes
Zenodo, 2021
52021
Tethered Unmanned Aerial Vehicles—A Systematic Review
MN Marques, SA Magalhães, FN Dos Santos, HS Mendonça
Robotics 12 (4), 117, 2023
42023
Omnidirectional robot modeling and simulation
SA Magalhães, AP Moreira, P Costa
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
42020
Toward grapevine digital ampelometry through vision deep learning models
SC Magalhães, L Castro, L Rodrigues, TC Padilha, F De Carvalho, ...
IEEE Sensors Journal, 2023
32023
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