Identifying multiple plant diseases using digital image processing JGA Barbedo, LV Koenigkan, TT Santos Biosystems engineering 147, 104-116, 2016 | 202 | 2016 |
A study on the detection of cattle in UAV images using deep learning JGA Barbedo, LV Koenigkan, TT Santos, PM Santos Sensors 19 (24), 5436, 2019 | 120 | 2019 |
Annotated plant pathology databases for image-based detection and recognition of diseases JGA Barbedo, LV Koenigkan, BA Halfeld-Vieira, RV Costa, KL Nechet, ... IEEE Latin America Transactions 16 (6), 1749-1757, 2018 | 113 | 2018 |
Counting cattle in UAV images—dealing with clustered animals and animal/background contrast changes JGA Barbedo, LV Koenigkan, PM Santos, ARB Ribeiro Sensors 20 (7), 2126, 2020 | 67 | 2020 |
Perspectives on the use of unmanned aerial systems to monitor cattle JGA Barbedo, LV Koenigkan Outlook on agriculture 47 (3), 214-222, 2018 | 64 | 2018 |
3D plant modeling: localization, mapping and segmentation for plant phenotyping using a single hand-held camera TT Santos, LV Koenigkan, JGA Barbedo, GC Rodrigues Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 50 | 2015 |
Cattle detection using oblique UAV images JGA Barbedo, LV Koenigkan, PM Santos Drones 4 (4), 75, 2020 | 24 | 2020 |
Sistema de classificação fuzzy para o risco de infestação por plantas daninhas considerando a sua variabilidade espacial GM Bressan, LV Koenigkan, VA Oliveira, PE Cruvinel, D Karam Planta Daninha 24, 229-238, 2006 | 20 | 2006 |
Genome sequences of avian pathogenic Escherichia coli strains isolated from Brazilian commercial poultry TCG Rojas, RP Maluta, LP Parizzi, LV Koenigkan, J Yang, J Yu, ... Genome announcements 1 (2), 10.1128/genomea. 00110-13, 2013 | 16 | 2013 |
A classification methodology for the risk of weed infestation using fuzzy logic GM Bressan, LV Koenigkan, VA Oliveira, PE Cruvinel, D Karam Weed Research 48 (5), 470-479, 2008 | 11 | 2008 |
Visão computacional aplicada na agricultura. TT Santos, JGA Barbedo, S Ternes, J Camargo Neto, LV Koenigkan, ... In: MASSRUHÁ, SMFS; LEITE, MA de A.; OLIVEIRA, SR de M.; MEIRA, CAA …, 2020 | 9 | 2020 |
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, chapter 3D Plant Modeling: Localization, Mapping and Segmentation for Plant Phenotyping Using a Single Hand-held Camera TT Santos, LV Koenigkan, JGA Barbedo, GC Rodrigues Springer, 2015 | 6 | 2015 |
Produção de ortomapas com VANTs e OpenDroneMap TT Santos, LV Koenigkan Campinas, SP: Embrapa São Paulo, 2018 | 4 | 2018 |
Visualizing thermal information and knowledge creation in grain storage bin based on three-dimensional (3D) interface model and computer graphic techniques PE Cruvinel, LV Koenigkan, MFL Pereira 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 425-428, 2016 | 4 | 2016 |
Manual on-line do sistema Agritempo versão 2.0. MD Bambini, A LUCHIARI JUNIOR, LAS Romani, AF Otavian, ... | 4 | 2015 |
In silico phylogenetic and virulence gene profile analyses of avian pathogenic Escherichia coli genome sequences TCG Rojas, RP Maluta, LV Koenigkan, WD Silveira Pesquisa Veterinária Brasileira 34, 129-133, 2014 | 4 | 2014 |
Parallel DSP architecture for reconstruction of tomographic images using wavelets techniques MFL Pereira, LV Koenigkan, PE Cruvinel Proceedings XIV Brazilian Symposium on Computer Graphics and Image …, 2001 | 4 | 2001 |
Sistema de Monitoramento Agrometeorológico-Agritempo: inovação em rede apoiando políticas públicas e a tomada de decisão agrícola LAS Romani, MD Bambini, PP Coltri, AL Junior, LV Koenigkan, ... Agrometeoros 24 (1), 2016 | 2 | 2016 |
NatData: a platform to integrate geospatial data from natural resources of the Brazilian biomes CGN Macario, AM Nakai, LV Koenigkan, J Daltio, CEL Da Fonseca 2014 IEEE 10th International Conference on e-Science 1, 256-262, 2014 | 2 | 2014 |
Fuzzy classification system for risk of weed infestation considering spatial variability GM Bressan, LV Koenigkan, VA Oliveira, PE Cruvinel, D Karam Planta Daninha 24, 229-238, 2006 | 2 | 2006 |