Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Daniel Matte Freitas"'
Autor:
Bruno Brandoli Machado, Diogo Nunes Gonçalves, Patrik Olã Bressan, Wesley Nunes Gonçalves, Daniel Matte Freitas, Lucas Abreu da Silva
Publikováno v:
Computers and Electronics in Agriculture. 156:360-368
Agriculture plays an important role in the economy of several countries, contributing from the production of food and income to the generation of jobs. To improve productivity in agriculture, proper crop management should be accomplished through pest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ceb07f1d4445b20a5bfba1c2258acfe
https://doi.org/10.1016/j.compag.2018.11.040
https://doi.org/10.1016/j.compag.2018.11.040
Autor:
Jose Martins, Raymundo Cordero Garcia, José Marcato Junior, Jonathan de Andrade Silva, Zhipeng Luo, Wesley Nunes Gonçalves, Lucas Prado Osco, Ana Paula Marques Ramos, Diogo Nunes Gonçalves, Patrik Olã Bressan, Maximilian Jaderson Melo, Daniel Matte Freitas, Jonathan Li
Recently, methods based on Convolutional Neural Networks (CNN) achieved impressive success in semantic segmentation tasks. However, challenges such as the class imbalance and the uncertainty in the pixel-labeling process are not completely addressed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9c7237fd4dd75336e7ce97c6b1a26a
https://doi.org/10.21203/rs.3.rs-409625/v1
https://doi.org/10.21203/rs.3.rs-409625/v1
Autor:
Patrik Olã Bressan, José Marcato Junior, José Augusto Correa Martins, Maximilian Jaderson de Melo, Diogo Nunes Gonçalves, Daniel Matte Freitas, Ana Paula Marques Ramos, Michelle Taís Garcia Furuya, Lucas Prado Osco, Jonathan de Andrade Silva, Zhipeng Luo, Raymundo Cordero Garcia, Lingfei Ma, Jonathan Li, Wesley Nunes Gonçalves
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 108:102690
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2e880c5395a7ca1a8690a005542487a
https://doi.org/10.1016/j.jag.2022.102690
https://doi.org/10.1016/j.jag.2022.102690
Autor:
Hemerson Pistori, Alessandro dos Santos Ferreira, Daniel Matte Freitas, Marcelo Theophilo Folhes, Gercina Gonçalves da Silva
Publikováno v:
Computers and Electronics in Agriculture. 143:314-324
Weeds are undesirable plants that grow in agricultural crops, such as soybean crops, competing for elements such as sunlight and water, causing losses to crop yields. The objective of this work was to use Convolutional Neural Networks (ConvNets or CN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1806ac19a0ce3cbe7c1acff4e333e1fe
https://doi.org/10.1016/j.compag.2017.10.027
https://doi.org/10.1016/j.compag.2017.10.027
Autor:
Gercina Gonçalves da Silva, Daniel Matte Freitas, Hemerson Pistori, Alessandro dos Santos Ferreira, Marcelo Theophilo Folhes
Publikováno v:
Computers and Electronics in Agriculture. 165:104963
In recent years, supervised Deep Neural Networks have achieved the state-of-the-art in image recognition and this success has spread in many areas. In agricultural field, several researches have been conducted using architectures such as Convolutiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8afb3e57147fa703683713f390ce801
https://doi.org/10.1016/j.compag.2019.104963
https://doi.org/10.1016/j.compag.2019.104963
Autor:
Ruben Barros Godoy, Pedro Eugenio M. J. Ribeiro, Daniel Matte Freitas, Alexandra Maria Almeida Carvalho Pinto, Luigi Galotto, João Onofre Pereira Pinto
Publikováno v:
IECON
The objective of this paper is to present a support system to manage electricity consumption contracts for Smart Grid environment. The system modeling uses historical data consumption and energy trading rules to find the optimal contract structure. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59928c64202387ee579de4097955b9b9
https://doi.org/10.1109/iecon.2013.6700398
https://doi.org/10.1109/iecon.2013.6700398