Search Results - "da Silva Oliveira, Adair"

Prediction of Girolando cattle weight by means of body measurements extracted from images by Weber, Vanessa Aparecida de Moraes, Weber, Fabricio de Lima, Gomes, Rodrigo da Costa, Oliveira, Adair da Silva, Menezes, Geazy Vilharva, Abreu, Urbano Gomes Pinto de, Belete, Nícolas Alessandro de Souza, Pistori, Hemerson

“…Abstract The objective with this study was to analyze the body measurements of Girolando cattle, as well as measurements extracted from their images, to…”
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Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks by Castelao Tetila, Everton, Brandoli Machado, Bruno, Menezes, Gabriel Kirsten, Oliveira, Adair da Silva, Alvarez, Marco, Amorim, Willian Paraguassu, de Souza Belete, Nicolas Alessandro, da Silva, Gercina Goncalves, Pistori, Hemerson

“…Plant diseases are a crucial issue in agriculture. An accurate and automatic identification of leaf diseases could help to develop an early response to reduce…”
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Automatic live fingerlings counting using computer vision by França Albuquerque, Pedro Lucas, Garcia, Vanir, da Silva Oliveira, Adair, Lewandowski, Tiago, Detweiler, Carrick, Gonçalves, Ariadne Barbosa, Costa, Celso Soares, Naka, Marco Hiroshi, Pistori, Hemerson

“…•Kalman Filter and Mixture of Gaussians are efficient for tracking fish.•Data association improves fish counting by incorporating temporal…”
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Pseudo-label semi-supervised learning for soybean monitoring by Menezes, Gabriel Kirsten, Astolfi, Gilberto, Martins, José Augusto Correa, Castelão Tetila, Everton, da Silva Oliveira Junior, Adair, Gonçalves, Diogo Nunes, Marcato Junior, José, Silva, Jonathan Andrade, Li, Jonathan, Gonçalves, Wesley Nunes, Pistori, Hemerson

“…This paper presents a semi-supervised learning method based on superpixels and convolutional neural networks (CNNs) to assign and improve the identification of…”
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Fingerlings mass estimation: A comparison between deep and shallow learning algorithms by da Silva Oliveira Junior, Adair, Sant’Ana, Diego André, Carneiro Brito Pache, Marcio, Garcia, Vanir, Aparecida de Moares Weber, Vanessa, Astolfi, Gilberto, de Lima Weber, Fabricio, Vilharva Menezes, Geazy, Kirsten Menezes, Gabriel, França Albuquerque, Pedro Lucas, Soares Costa, Celso, Arguelho de Queiroz, Eduardo Quirino, Araújo Rozales, João Victor, Wolff Ferreira, Milena, Hiroshi Naka, Marco, Pistori, Hemerson

“…•A new image dataset composed of 1206 images of fingerlings and annotated weigths.•This paper compares different machine learning techniques.•A regression…”
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Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks by Weber, Fabricio de Lima, Weber, Vanessa Aparecida de Moraes, Menezes, Geazy Vilharva, Oliveira Junior, Adair da Silva, Alves, Daniela Arestides, de Oliveira, Marcus Vinicius Morais, Matsubara, Edson Takashi, Pistori, Hemerson, Abreu, Urbano Gomes Pinto de

“…•Individual recognition of Pantanal cattle through the application of Convolutional Neural Networks (CNN).•Annotadet dataset with 27,849 images of Pantanal…”
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Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images by Astolfi, Gilberto, Pache, Marcio Carneiro Brito, Menezes, Geazy Vilharva, Oliveira Junior, Adair da Silva, Menezes, Gabriel Kirsten, Weber, Vanessa Aparecida de Moares, Castelao Tetila, Everton, Belete, Nicolas Alessandro de Souza, Matsubara, Edson Takashi, Pistori, Hemerson

“…Syntactic methods in computer vision represent visual patterns in a hierarchical and compositional perspective, which is converted to strings. Long short-term…”
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Prediction of fingerling biomass with deep learning by Brito Pache, Marcio Carneiro, Sant’Ana, Diego André, Araújo Rozales, João Victor, Weber, Vanessa Aparecida de Moraes, Oliveira Junior, Adair da Silva, Garcia, Vanir, Pistori, Hemerson, Naka, Marco Hiroshi

“…•The traditional feature extraction method provided the best fit to the data.•The automatic selection mechanism combined with data augmentation optimized the…”
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Non-intrusively estimating the live body biomass of Pintado Real® fingerlings: A feature selection approach by Pache, Marcio Carneiro Brito, Sant'Ana, Diego André, Rezende, Fábio Prestes Cesar, de Andrade Porto, João Vitor, Rozales, João Victor Araújo, de Moraes Weber, Vanessa Aparecida, da Silva Oliveira Junior, Adair, Garcia, Vanir, Naka, Marco Hiroshi, Pistori, Hemerson

“…Aquaculture has undergone significant technological advances in recent decades, which has enabled the expansion of fish protein production worldwide. However,…”
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A new image dataset for the evaluation of automatic fingerlings counting by Garcia, Vanir, Sant’Ana, Diego André, Garcia Zanoni, Vanda Alice, Brito Pache, Marcio Carneiro, Naka, Marco Hiroshi, França Albuquerque, Pedro Lucas, Lewandowski, Tiago, Silva Oliveira Junior, Adair Da, Araújo Rozales, João Victor, Ferreira, Milena Wolff, de Queiroz, Eduardo Quirino Arguelho, Marino Almanza, José Carlos, Pistori, Hemerson

“…Fingerling counting in fish farming is still a problem to be solved, although there are some technological solutions used in experimental cases and controlled…”
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Cattle weight estimation using active contour models and regression trees Bagging by Weber, Vanessa Aparecida Moraes, Weber, Fabricio de Lima, Oliveira, Adair da Silva, Astolfi, Gilberto, Menezes, Geazy Vilharva, de Andrade Porto, João Vitor, Rezende, Fábio Prestes Cesar, Moraes, Pedro Henrique de, Matsubara, Edson Takashi, Mateus, Rodrigo Gonçalves, de Araújo, Thiago Luís Alves Campos, da Silva, Luiz Otávio Campos, de Queiroz, Eduardo Quirino Arguelho, de Abreu, Urbano Gomes Pinto, da Costa Gomes, Rodrigo, Pistori, Hemerson

“…•Measurements of dorsal area were used to predict cattle body weight, using 2D images.•Body weight was correlated with distances of the points of the Active…”
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