| A review on deep learning in UAV remote sensing LP Osco, JM Junior, APM Ramos, LA de Castro Jorge, SN Fatholahi, ... International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 289 | 2021 |
| A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices APM Ramos, LP Osco, DEG Furuya, WN Gonçalves, DC Santana, ... Computers and Electronics in Agriculture 178, 105791, 2020 | 178 | 2020 |
| A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery LP OSCO, MS ARRUDA, J MARCATO JUNIOR, NB SILVA, ... ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 160, 97-106, 2020 | 149 | 2020 |
| Predicting canopy nitrogen content in citrus-trees using random forest algorithm associated to spectral vegetation indices from UAV-imagery L Prado Osco, AP Marques Ramos, D Roberto Pereira, ... Remote Sensing 11 (24), 2925, 2019 | 102 | 2019 |
| Leaf nitrogen concentration and plant height prediction for maize using UAV-based multispectral imagery and machine learning techniques LP Osco, JM Junior, APM Ramos, DEG Furuya, DC Santana, ... Remote Sensing 12 (19), 3237, 2020 | 91 | 2020 |
| A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery LP Osco, MS de Arruda, DN Gonçalves, A Dias, J Batistoti, M de Souza, ... ISPRS Journal of Photogrammetry and Remote Sensing 174, 1-17, 2021 | 79 | 2021 |
| A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements LP Osco, APM Ramos, MM Faita Pinheiro, ÉAS Moriya, NN Imai, ... Remote Sensing 12 (6), 906, 2020 | 77 | 2020 |
| Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery LP Osco, K Nogueira, AP Marques Ramos, MM Faita Pinheiro, ... Precision Agriculture 22 (4), 1171-1188, 2021 | 51 | 2021 |
| ATSS deep learning-based approach to detect apple fruits LJ Biffi, E Mitishita, V Liesenberg, AA Santos, DN Gonçalves, NV Estrabis, ... Remote Sensing 13 (1), 54, 2020 | 48 | 2020 |
| Detecting coffee leaf rust with UAV-based vegetation indices and decision tree machine learning models DB Marin, LS Santana, BDS Barbosa, RAP Barata, LP Osco, APM Ramos, ... Computers and Electronics in Agriculture 190, 106476, 2021 | 41 | 2021 |
| Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning JAC Martins, K Nogueira, LP Osco, FDG Gomes, DEG Furuya, ... Remote Sensing 13 (16), 3054, 2021 | 38 | 2021 |
| AS; Imai, NN; Pereira, DR; Creste, JE; Matsubara, ET; et al. A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery LP Osco, MS De Arruda, J Marcato Junior, NB Da Silva, APM Ramos, ... ISPRS J. Photogramm. Remote Sens 160, 97-106, 2020 | 37 | 2020 |
| Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images LP Osco, APM Ramos, ÉAS Moriya, M de Souza, JM Junior, ... International Journal of Applied Earth Observation and Geoinformation 83, 101907, 2019 | 37 | 2019 |
| Modeling hyperspectral response of water-stress induced lettuce plants using artificial neural networks LP Osco, APM Ramos, ÉAS Moriya, LG Bavaresco, BC Lima, N Estrabis, ... Remote Sensing 11 (23), 2797, 2019 | 35 | 2019 |
| Análise exploratória de dados de área para índices de furto na mesorregião de Presidente Prudente-SP APS MARQUES, ML HOLZSCHUH, VM TACHIBANA, NN IMAI III Simpósio Brasileiro de Ciências Geodésicas e Tecnologias da …, 2010 | 35* | 2010 |
| Mother-to-child transmission and gestational syphilis: Spatial-temporal epidemiology and demographics in a Brazilian region JM SOUZA, R GIUFFRIDA, APS MARQUES, G MORCELI, CH COELHO, ... PLoS Neglected Tropical Diseases. 13 (1), 2019 | 34 | 2019 |
| The segment anything model (sam) for remote sensing applications: From zero to one shot LP Osco, Q Wu, EL de Lemos, WN Gonçalves, APM Ramos, J Li, ... International Journal of Applied Earth Observation and Geoinformation 124 …, 2023 | 33 | 2023 |
| Predicting days to maturity, plant height, and grain yield in soybean: A machine and deep learning approach using multispectral data PE Teodoro, LPR Teodoro, FHR Baio, CA da Silva Junior, RG dos Santos, ... Remote sensing 13 (22), 4632, 2021 | 28 | 2021 |
| Storm-drain and manhole detection using the retinanet method A Santos, J Marcato Junior, J de Andrade Silva, R Pereira, D Matos, ... Sensors 20 (16), 4450, 2020 | 26 | 2020 |
| Métodos para Avaliação da Usabilidade de Sistemas de Navegação e Guia de Rota EA Pugliesi, MMS Decanini, APM Ramos, I Tsuchiya Revista Brasileira de Cartografia 5 (65), 571-589, 2013 | 23 | 2013 |
Marcato Junior, JoséFederal University of Mato Grosso do SulVerified email at ufms.br
