Hemerson Pistori

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Coauteurs

Wesley Nunes GonçalvesFederal University of Mato Grosso do SulAdresse e-mail validée de ufms.br
Marcato Junior, JoséFederal University of Mato Grosso do SulAdresse e-mail validée de ufms.br
Dr. Everton Castelão TetilaProfessor of Computer Area, UFGD UniversityAdresse e-mail validée de ufgd.edu.br
Vanessa Aparecida de Moraes WeberUEMS and UCDBAdresse e-mail validée de uems.br
Gilberto AstolfiFederal Institute of Education Science and Technology of Mato Grosso do SulAdresse e-mail validée de ifms.edu.br
Gercina Gonçalves da SilvaUniversidade Federal de Mato Grosso do SulAdresse e-mail validée de ufms.br
Ariadne Barbosa GonçalvesFederal University of Mato Grosso do Sul - UFMSAdresse e-mail validée de ufms.br
Edson Takashi MatsubaraProfessor of Computer Science, Federal University of Mato Grosso do SulAdresse e-mail validée de facom.ufms.br
Jonathan Andrade SilvaUniversity of Mato Grosso do SulAdresse e-mail validée de ufms.br
Adair da Silva Oliveira JuniorAluno de Ciência da Computação, Universidade Federal de Mato Grosso do SulAdresse e-mail validée de ufms.br
Diego André Sant'AnaProfessor EBTT - INFORMÁTICA, Instituto Federal de Mato Grosso do SulAdresse e-mail validée de ifms.edu.br
Lucas Prado OscoPh.D. Environmental EngineerAdresse e-mail validée de unoeste.br
Nícolas Alessandro de Souza BeleteProfessor de Engenharia de Produção, Universidade Federal de RondôniaAdresse e-mail validée de unir.br
Geazy Vilharva MenezesFederal University of Mato Grosso do SulAdresse e-mail validée de ufms.br
Ana Paula Marques RamosSão Paulo State University (Unesp)Adresse e-mail validée de unesp.br
Marcio Carneiro Brito PacheFederal Institute of Mato Grosso do Sul-IFMSAdresse e-mail validée de ifms.edu.br
Antonia Railda RoelINCT HYMPARAdresse e-mail validée de ucdb.br
Marco Hiroshi NakaProfessor dos Programas de Mestrado e Doutorado em Biotecnologia e em Desenvolvimento LocalAdresse e-mail validée de ifms.edu.br
Alessandro dos Santos FerreiraFederal University of Mato Grosso do SulAdresse e-mail validée de facom.ufms.br
João José NetoProfessor de Engenharia de Computação, USPAdresse e-mail validée de poli.usp.br

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Hemerson Pistori

Universidade Católica Dom Bosco

Adresse e-mail validée de ucdb.br - Page d'accueil

precision agriculture drone livestock UAV deep learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Weed detection in soybean crops using ConvNets A dos Santos Ferreira, DM Freitas, GG da Silva, H Pistori, MT Folhes Computers and Electronics in Agriculture 143, 314-324, 2017	491	2017
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
Detection and classification of soybean pests using deep learning with UAV images EC Tetila, BB Machado, G Astolfi, NA de Souza Belete, WP Amorim, ... Computers and Electronics in Agriculture 179, 105836, 2020	170	2020
Identification of soybean foliar diseases using unmanned aerial vehicle images EC Tetila, BB Machado, NA Belete, DA Guimarães, H Pistori IEEE Geoscience and remote sensing letters 14 (12), 2190-2194, 2017	150	2017
Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ... Sensors 19 (16), 3595, 2019	149	2019
Automatic recognition of soybean leaf diseases using UAV images and deep convolutional neural networks EC Tetila, BB Machado, GK Menezes, AS Oliveira, M Alvarez, WP Amorim, ... IEEE geoscience and remote sensing letters 17 (5), 903-907, 2019	148	2019
BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory BB Machado, JPM Orue, MS Arruda, CV Santos, DS Sarath, ... Computers and electronics in agriculture 129, 44-55, 2016	121	2016
Long-term forecast of energy commodities price using machine learning GP Herrera, M Constantino, BM Tabak, H Pistori, JJ Su, A Naranpanawa Energy 179, 214-221, 2019	110	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
Unsupervised deep learning and semi-automatic data labeling in weed discrimination A dos Santos Ferreira, DM Freitas, GG da Silva, H Pistori, MT Folhes Computers and Electronics in Agriculture 165, 104963, 2019	87	2019
Feature extraction and machine learning for the classification of Brazilian Savannah pollen grains AB Gonçalves, JS Souza, GG Silva, MP Cereda, A Pott, MH Naka, ... PloS one 11 (6), e0157044, 2016	85	2016
Automatic live fingerlings counting using computer vision PLF Albuquerque, V Garcia, ASO Junior, T Lewandowski, C Detweiler, ... Computers and Electronics in Agriculture 167, 105015, 2019	62	2019
Tecnologia adaptativa em engenharia de computação: Estado da arte e aplicações H Pistori, JJ Neto Universidade de São Paulo (USP), São Paulo, 2003	58	2003
Mice and larvae tracking using a particle filter with an auto-adjustable observation model H Pistori, VVVA Odakura, JBO Monteiro, WN Gonçalves, AR Roel, ... Pattern Recognition Letters 31 (4), 337-346, 2010	53	2010
Prediction of Girolando cattle weight by means of body measurements extracted from images VAM Weber, FL Weber, RC Gomes, AS Oliveira Junior, GV Menezes, ... Revista Brasileira de Zootecnia 49, e20190110, 2020	47	2020
Cattle weight estimation using active contour models and regression trees Bagging VAM Weber, F de Lima Weber, A da Silva Oliveira, G Astolfi, GV Menezes, ... Computers and electronics in agriculture 179, 105804, 2020	44	2020
Defect detection in raw hide and wet blue leather H Pistori, WA Paraguassu, PS Martins, MP Conti, MA Pereira, MA Jacinto Computational Modelling of Objects Represented in Images. Fundamentals …, 2018	44	2018
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition WP Amorim, EC Tetila, H Pistori, JP Papa Computers and Electronics in Agriculture 164, 104932, 2019	43	2019
A deep-learning approach for automatic counting of soybean insect pests EC Tetila, BB Machado, GV Menezes, NA de Souza Belete, G Astolfi, ... IEEE Geoscience and Remote Sensing Letters 17 (10), 1837-1841, 2019	41	2019

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