Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mauro dos Santos de Arruda"'
Autor:
Diogo Nunes Gonçalves, José Marcato Junior, Mauro dos Santos de Arruda, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Lucio André de Castro Jorge, Jonathan Li, Farid Melgani, Hemerson Pistori, Wesley Nunes Gonçalves
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31730- (2024)
Identifying plantation lines in aerial images of agricultural landscapes is re-quired for many automatic farming processes. Deep learning-based networks are among the most prominent methods to learn such patterns and extract this type of information
Externí odkaz:
https://doaj.org/article/0b48a64d1da542c2a75b433202b35452
Autor:
Celso Soares Costa, Wesley Nunes Gonçalves, Vanda Alice Garcia Zanoni, Mauro dos Santos de Arruda, Mário de Araújo Carvalho, Edgar Nascimento, José Marcato Junior, Odair Diemer, Hemerson Pistori
Publikováno v:
Smart Agricultural Technology, Vol 4, Iss , Pp 100160- (2023)
In this work, we propose a new way for automatically counting fish larvae in Petri dishes using images captured by a standard smartphone. A new tilapia larvae image dataset for training and validating machine learning models has been created and used
Externí odkaz:
https://doaj.org/article/6954a2a9edcc41bf8610e3363c4b2728
Autor:
Luciene Sales Dagher Arce, Lucas Prado Osco, Mauro dos Santos de Arruda, Danielle Elis Garcia Furuya, Ana Paula Marques Ramos, Camila Aoki, Arnildo Pott, Sarah Fatholahi, Jonathan Li, Fábio Fernando de Araújo, Wesley Nunes Gonçalves, José Marcato Junior
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is
Externí odkaz:
https://doaj.org/article/8dec4f8d90b64f1498485e3188e1019e
Autor:
José Marcato Junior, Juliana Batistoti, Felipe David Georges Gomes, Alexandre Menezes Dias, Veraldo Liesenberg, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Lucas Prado Osco, Wesley Nunes Gonçalves, Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Lingfei Ma, Jonathan Li, Maurício de Souza
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 174:1-17
In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its plants considering highly-dense plantation configurations. The experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0ad8ed1dfe897fcd47790e8673c880f
https://doi.org/10.1016/j.isprsjprs.2021.01.024
https://doi.org/10.1016/j.isprsjprs.2021.01.024
Autor:
Fabio Fernando de Araujo, Danielle Elis Garcia Furuya, José Marcato Junior, Luciene Sales Dagher Arce, Sarah Narges Fatholahi, Mauro dos Santos de Arruda, Lucas Prado Osco, Arnildo Pott, Ana Paula Marques Ramos, Jonathan Li, Camila Aoki, Wesley Nunes Gonçalves
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0364b74761ba8d1fc66e312c1431ce09
https://pubmed.ncbi.nlm.nih.gov/34608181
https://pubmed.ncbi.nlm.nih.gov/34608181
Autor:
Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta, Diogo Nunes Gonçalves, José Marcato Junior, Ana Paula Marques Ramos, Edson Takashi Matsubara, Zhipeng Luo, Jonathan Li, Jonathan de Andrade Silva, Wesley Nunes Gonçalves
This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is the first object counting and locating method based on a feature map enhancement and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a3c846e1b55eb9b76288a6efee1c67a
Autor:
Celso Soares Costa, Vanda Alice Garcia Zanoni, Lucimar Rodrigues Vieira Curvo, Mário de Araújo Carvalho, Wilson Rogério Boscolo, Altevir Signor, Mauro dos Santos de Arruda, Higor Henrique Picoli Nucci, José Marcato Junior, Wesley Nunes Gonçalves, Odair Diemer, Hemerson Pistori
Publikováno v:
Aquacultural Engineering. 97:102225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0255993f3507bac2797bd0de038226
https://doi.org/10.1016/j.aquaeng.2022.102225
https://doi.org/10.1016/j.aquaeng.2022.102225
Autor:
Diogo Santana Sarath, Antonia Railda Roe, Cleidimar Viana dos Santos, Hemerson Pistori, Gercina Gonçalves da Silva, Jose Fernando Rodrigues Junior, Wesley Nunes Gonçalves, Jonatan Patrick Margarido Oruê, Bruno Brandoli Machado, Mauro dos Santos de Arruda
Publikováno v:
REVISTA DA UNIVERSIDADE VALE DO RIO VERDE. 15:257-267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad05f84347d17bb2b6c873d3f8654650
https://doi.org/10.5892/ruvrd.v15i2.3262
https://doi.org/10.5892/ruvrd.v15i2.3262
Autor:
Diogo Santana Sarath, Gercina Gonçalves da Silva, Wesley Nunes Gonçalves, Antonia Railda Roel, Hemerson Pistori, Jose F. Rodrigues-Jr, Jonatan Patrick Margarido Oruê, Bruno Brandoli Machado, Mauro dos Santos de Arruda, Cleidimar Viana dos Santos
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Soybean is one of the ten greatest crops in the world, answering for billion-dollar businesses every year. This crop suffers from insect herbivory that costs millions from producers. Hence, constant monitoring of the crop foliar damage is necessary t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef9d5f7a6262a31fc088b015753fefa
https://doi.org/10.1016/j.compag.2016.09.007
https://doi.org/10.1016/j.compag.2016.09.007
Autor:
Wesley Nunes Gonçalves, Mauro dos Santos de Arruda, Antonio Maria Garcia Tommaselli, José Marcato Junior, Gabriela Takahashi Miyoshi, Nilton Nobuhiro Imai, Eija Honkavaara, Diogo Nunes Gonçalves, Lucas Prado Osco
Publikováno v:
Remote Sensing, Vol 12, Iss 1294, p 1294 (2020)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Remote Sensing; Volume 12; Issue 8; Pages: 1294
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Remote Sensing; Volume 12; Issue 8; Pages: 1294
Made available in DSpace on 2020-12-12T02:05:38Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-01 Deep neural networks are currently the focus of many remote sensing approaches related to forest management. Although they return satisfactor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5da840e1b18a880132d1fb4dc5ae397
https://doi.org/10.3390/rs12081294
https://doi.org/10.3390/rs12081294