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 | 151 | 2021 |
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 | 135 | 2020 |
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 | 71 | 2022 |
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 | 51 | 2021 |
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 | 31 | 2019 |
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 | 25 | 2021 |
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 | 22 | 2022 |
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 | 18 | 2023 |
Path planning algorithms benchmarking for grapevines pruning and monitoring SA Magalhaes, FN dos Santos, RC Martins, LF Rocha, J Brito Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019 | 16 | 2019 |
Tethered Unmanned Aerial Vehicles—A Systematic Review MN Marques, SA Magalhães, FN Dos Santos, HS Mendonça Robotics 12 (4), 117, 2023 | 14 | 2023 |
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 | 14 | 2023 |
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 | 14 | 2023 |
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 | 11 | 2022 |
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 | 10 | 2022 |
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 | 10 | 2019 |
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 | 9 | 2021 |
Toward grapevine digital ampelometry through vision deep learning models SC Magalhães, L Castro, L Rodrigues, TC Padilha, F de Carvalho, ... IEEE Sensors Journal 23 (9), 10132-10139, 2023 | 8 | 2023 |
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 | 7 | 2021 |
Grape bunch and vine trunk dataset for deep learning object detection AS Aguiar, S Magalhaes Zenodo, 2021 | 6 | 2021 |
Dataset of tomato inside greenhouses for object detection in Pascal VOC SA Magalhães INESC TEC Research Data Repository: Porto, Portugal, 2021 | 5 | 2021 |