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Filipe Neves Dos Santos
Filipe Neves Dos Santos
Manager Laboratory of Robotics and IoT for Smart Precision Agriculture and Forestry @ 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
1082021
Smartphone applications targeting precision agriculture practices—A systematic review
J Mendes, TM Pinho, F Neves dos Santos, JJ Sousa, E Peres, ...
Agronomy 10 (6), 855, 2020
1042020
Deep learning applications in agriculture: A short review
L Santos, FN Santos, PM Oliveira, P Shinde
Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, Volume …, 2020
982020
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
942020
Localization and mapping for robots in agriculture and forestry: A survey
AS Aguiar, FN dos Santos, JB Cunha, H Sobreira, AJ Sousa
Robotics 9 (4), 97, 2020
912020
Towards a Reliable Robot for Steep Slope Vineyards Monitoring
FN dos Santos, H Sobreira, D Campos, R Morais, AP Moreira, O Contente
Journal of Intelligent & Robotic Systems, 1-16, 2016
652016
Vineyard trunk detection using deep learning–An experimental device benchmark
ASP de Aguiar, FBN dos Santos, LCF dos Santos, VM de Jesus Filipe, ...
Computers and Electronics in Agriculture 175, 105535, 2020
582020
Towards a reliable monitoring robot for mountain vineyards
FN Dos Santos, HMP Sobreira, DFB Campos, R Morais, APGM Moreira, ...
2015 IEEE international conference on autonomous robot systems and …, 2015
532015
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
502022
Path planning aware of robot’s center of mass for steep slope vineyards
L Santos, F Santos, J Mendes, P Costa, J Lima, R Reis, P Shinde
Robotica 38 (4), 684-698, 2020
442020
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
Visual trunk detection using transfer learning and a deep learning-based coprocessor
AS Aguiar, FN Dos Santos, AJM De Sousa, PM Oliveira, LC Santos
IEEE Access 8, 77308-77320, 2020
412020
Occupancy grid and topological maps extraction from satellite images for path planning in agricultural robots
LC Santos, AS Aguiar, FN Santos, A Valente, M Petry
Robotics 9 (4), 77, 2020
342020
Vine trunk detector for a reliable robot localization system
J Mendes, FN Dos Santos, N Ferraz, P Couto, R Morais
2016 International Conference on Autonomous Robot Systems and Competitions …, 2016
292016
Agricultural Wireless Sensor Mapping for Robot Localization
RM Marcos Duarte, Filipe Neves dos Santos, Armando Sousa
Robot 2015: Second Iberian Robotics Conference 417, 359-370, 2015
29*2015
Low-Cost IoT LoRa®Solutions for Precision Agriculture Monitoring Practices
N Silva, J Mendes, R Silva, FN dos Santos, P Mestre, C Serôdio, R Morais
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
272019
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
242019
Mining the usage patterns of ROS primitives
A Santos, A Cunha, N Macedo, R Arrais, FN Dos Santos
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
242017
Fast 3D map matching localisation algorithm
M Pinto, AP Moreira, A Matos, HM Sobreira, FN Santos
242013
Visible and thermal image-based trunk detection with deep learning for forestry mobile robotics
DQ da Silva, FN Dos Santos, AJ Sousa, V Filipe
Journal of imaging 7 (9), 176, 2021
232021
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