Výsledky vyhledávání - "Adair da Silva Oliveira"

Akademický článek

Pseudo-label semi-supervised learning for soybean monitoring

Autor: Gabriel Kirsten Menezes, Gilberto Astolfi, José Augusto Correa Martins, Everton Castelão Tetila, Adair da Silva Oliveira Junior, Diogo Nunes Gonçalves, José Marcato Junior, Jonathan Andrade Silva, Jonathan Li, Wesley Nunes Gonçalves, Hemerson Pistori

Publikováno v: Smart Agricultural Technology, Vol 4, Iss , Pp 100216- (2023)

This paper presents a semi-supervised learning method based on superpixels and convolutional neural networks (CNNs) to assign and improve the identification of weeds in soybean crops. Despite its promising results, CNNs require massive amounts of lab

Externí odkaz: https://doaj.org/article/71e9ad13045d47a0b4f2f3fdbcf1cf74

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Akademický článek

Fingerlings mass estimation: A comparison between deep and shallow learning algorithms

Autor: Adair da Silva Oliveira Junior, Diego André Sant’Ana, Marcio Carneiro Brito Pache, Vanir Garcia, Vanessa Aparecida de Moares Weber, Gilberto Astolfi, Fabricio de Lima Weber, Geazy Vilharva Menezes, Gabriel Kirsten Menezes, Pedro Lucas França Albuquerque, Celso Soares Costa, Eduardo Quirino Arguelho de Queiroz, João Victor Araújo Rozales, Milena Wolff Ferreira, Marco Hiroshi Naka, Hemerson Pistori

Publikováno v: Smart Agricultural Technology, Vol 1, Iss , Pp 100020- (2021)

The paper presents some results regarding the automatic mass estimation of Pintado Real fingerlings, using machine learning techniques to support the fish production process. For this purpose, an image dataset called FISHCV1206FSEG, was created which

Externí odkaz: https://doaj.org/article/6ba35f5a32c547899ff4f496b328e284

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Akademický článek

Prediction of Girolando cattle weight by means of body measurements extracted from images

Autor: Vanessa Aparecida de Moraes Weber, Fabricio de Lima Weber, Rodrigo da Costa Gomes, Adair da Silva Oliveira Junior, Geazy Vilharva Menezes, Urbano Gomes Pinto de Abreu, Nícolas Alessandro de Souza Belete, Hemerson Pistori

Publikováno v: Revista Brasileira de Zootecnia, Vol 49 (2020)

Abstract The objective with this study was to analyze the body measurements of Girolando cattle, as well as measurements extracted from their images, to generate a model to understand which measures further explain the cattle body weight. Therefore,

Externí odkaz: https://doaj.org/article/a1fdb440590c4d1587eb961b4e657179

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Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images

Autor: Nícolas Alessandro de Souza Belete, Vanessa Aparecida de Moares Weber, Marcio Carneiro Brito Pache, Geazy Vilharva Menezes, Gilberto Astolfi, Hemerson Pistori, Adair da Silva Oliveira Junior, Gabriel Menezes, Everton Castelão Tetila, Edson Takashi Matsubara

Publikováno v: IEEE Geoscience and Remote Sensing Letters. 18:2182-2186

Syntactic methods in computer vision represent visual patterns in a hierarchical and compositional perspective, which is converted to strings. Long short-term memory (LSTM) is able to learn patterns in sequences. In this letter, we propose a syntacti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad413160f1dcba156e30ae7b05a95632
https://doi.org/10.1109/lgrs.2020.3014938

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Akademický článek

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