| 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 | 419 | 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 | 245 | 2020 |
| The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot L Prado Osco, Q Wu, E Lopes de Lemos, W Nunes Gonçalves, ... arXiv e-prints, arXiv: 2306.16623, 2023 | 178* | 2023 |
| A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery LP Osco, MS De Arruda, JM Junior, NB Da Silva, APM Ramos, ... ISPRS Journal of Photogrammetry and Remote Sensing 160, 97-106, 2020 | 171* | 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 | 137 | 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 | 126 | 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 | 106 | 2021 |
| A novel deep learning method to identify single tree species in UAV-based hyperspectral images GT Miyoshi, MS Arruda, LP Osco, J Marcato Junior, DN Gonçalves, ... Remote Sensing 12 (8), 1294, 2020 | 101 | 2020 |
| 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 | 99 | 2020 |
| Deep learning applied to phenotyping of biomass in forages with UAV-based RGB imagery W Castro, J Marcato Junior, C Polidoro, LP Osco, W Gonçalves, ... Sensors 20 (17), 4802, 2020 | 80 | 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 | 73 | 2021 |
| Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery LP Osco, K Nogueira, APM Ramos, MMF Pinheiro, DEG Furuya, ... Precision Agriculture, 1-18, 2021 | 72 | 2021 |
| ATSS deep learning-based approach to detect apple fruits LJ Biffi, E Mitishita, V Liesenberg, AA Santos, DN Goncalves, NV Estrabis, ... Remote Sensing 13 (1), 54, 2020 | 67 | 2020 |
| samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM) Q Wu, LP Osco Journal of Open Source Software 8 (89), 5663, 2023 | 57 | 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 | 57 | 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 | 55 | 2021 |
| 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 | 49 | 2019 |
| Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping PO Bressan, JM Junior, JAC Martins, MJ de Melo, DN Gonçalves, ... International Journal of Applied Earth Observation and Geoinformation 108 …, 2022 | 45 | 2022 |
| 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 | 40 | 2019 |
| Bacillus subtilis can modulate the growth and root architecture in soybean through volatile organic compounds LG Bavaresco, LP Osco, ASF Araujo, LW Mendes, A Bonifacio, FF Araujo Theoretical and Experimental Plant Physiology 32 (2), 99-108, 2020 | 39 | 2020 |
Marcato Junior, JoséFederal University of Mato Grosso do SulVahvistettu sähköpostiosoite verkkotunnuksessa ufms.br