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22 results on '"Sant’Ana, Diego André"'

4. The influence of lighting on fingerlings counting

Author

Garcia, Vanir, primary, Sant’Ana, Diego André, additional, Zanoni, Vanda Alice Garcia, additional, Pache, Marcio Carneiro Brito, additional, Naka, Marco Hiroshi, additional, Albuquerque, Pedro Lucas França, additional, Lewandowski, Tiago, additional, Oliveira Junior, Adair da Silva, additional, Rozales, João Victor Araújo, additional, Ferreira, Milena Wolff, additional, Queiroz, Eduardo Quirino Arguelho de, additional, Almanza, José Carlos Marino, additional, and Pistori, Hemerson, additional

Published
2023
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6. Prediction of fingerling biomass with deep learning

Author

Brito Pache, Marcio Carneiro, primary, Sant’Ana, Diego André, additional, Araújo Rozales, João Victor, additional, Weber, Vanessa Aparecida de Moraes, additional, Oliveira Junior, Adair da Silva, additional, Garcia, Vanir, additional, Pistori, Hemerson, additional, and Naka, Marco Hiroshi, additional

Published
2022
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9. Aquaculture and innovation based on interactive learning processes: Pacu Project in Terenos, MS

Author

Pache,Marcio Carneiro Brito, Bourlegat,Cleonice Alexandre Le, Dias,Jefferson Levy Espindola, Sant’Ana,Diego André, Pistori,Hemerson, and Naka,Marco Hiroshi

Subjects
interactive learning, family entrepreneurship, innovation
Abstract

This paper describes the Pacu Project innovation technologies during its trajectory related to aquaculture, as well as the impacts on its structure and dynamic. The research object is the Santa Rosa Farm production unit in Terenos, Mato Grosso do Sul. The influence of the interactive learning processes on the innovative act has been evaluated in this work. This case study uses the descriptive and explanatory methods used concerning the origin and dynamics of the company, through access to bibliographic and documentary sources, associated with data collection which was supported by a questionnaire applied to the executive manager, and visits to the unit. The research allowed the authors to verify the importance of the role played by interactive learning in the company, since its origins, be it either in processes of systemic innovation, as well as in the incorporation of competencies that enhance its resilience and the possibility of propagating knowledge systemically.

Published
2022

10. Computer vision system for superpixel classification and segmentation of sheep

Author

Sant'Ana, Diego André, primary, Carneiro Brito Pache, Marcio, additional, Martins, José, additional, Astolfi, Gilberto, additional, Pereira Soares, Wellington, additional, Neves de Melo, Sebastião Lucas, additional, da Silva Heimbach, Natália, additional, de Moraes Weber, Vanessa Aparecida, additional, Gonçalves Mateus, Rodrigo, additional, and Pistori, Hemerson, additional

Published
2022
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11. Non-intrusively estimating the live body biomass of Pintado Real® fingerlings: A feature selection approach

Author

Pache, Marcio Carneiro Brito, primary, Sant'Ana, Diego André, additional, Rezende, Fábio Prestes Cesar, additional, de Andrade Porto, João Vitor, additional, Rozales, João Victor Araújo, additional, de Moraes Weber, Vanessa Aparecida, additional, da Silva Oliveira Junior, Adair, additional, Garcia, Vanir, additional, Naka, Marco Hiroshi, additional, and Pistori, Hemerson, additional

Published
2022
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12. Identifying plant species in kettle holes using UAV images and deep learning techniques

Author

Martins, José Augusto Correa, Marcato Junior, José, Pätzig, Marlene, Sant'Ana, Diego André, Pistori, Hemerson, Liesenberg, Veraldo, Eltner, Anette, Martins, José Augusto Correa, Marcato Junior, José, Pätzig, Marlene, Sant'Ana, Diego André, Pistori, Hemerson, Liesenberg, Veraldo, and Eltner, Anette

Abstract

The use of uncrewed aerial vehicle to map the environment increased significantly in the last decade enabling a finer assessment of the land cover. However, creating accurate maps of the environment is still a complex and costly task. Deep learning (DL) is a new generation of artificial neural network research that, combined with remote sensing techniques, allows a refined understanding of our environment and can help to solve challenging land cover mapping issues. This research focuses on the vegetation segmentation of kettle holes. Kettle holes are small, pond-like, depressional wetlands. Quantifying the vegetation present in this environment is essential to assess the biodiversity and the health of the ecosystem. A machine learning workflow has been developed, integrating a superpixel segmentation algorithm to build a robust dataset, which is followed by a set of DL architectures to classify 10 plant classes present in kettle holes. The best architecture for this task was Xception, which achieved an average F1-score of 85% in the segmentation of the species. The application of solely 318 samples per class enabled a successful mapping in the complex wetland environment, indicating an important direction for future health assessments in such landscapes.

Published
2022

13. Identifying plant species in kettle holes using UAV images and deep learning techniques.

Author

Correa Martins, José Augusto, Marcato Junior, José, Pätzig, Marlene, Sant'Ana, Diego André, Pistori, Hemerson, Liesenberg, Veraldo, and Eltner, Anette

Subjects
PLANT species, DEEP learning, KETTLES, LANDSCAPE assessment, ECOSYSTEM health, LAND cover, DRONE aircraft, LANDSAT satellites
Abstract

The use of uncrewed aerial vehicle to map the environment increased significantly in the last decade enabling a finer assessment of the land cover. However, creating accurate maps of the environment is still a complex and costly task. Deep learning (DL) is a new generation of artificial neural network research that, combined with remote sensing techniques, allows a refined understanding of our environment and can help to solve challenging land cover mapping issues. This research focuses on the vegetation segmentation of kettle holes. Kettle holes are small, pond‐like, depressional wetlands. Quantifying the vegetation present in this environment is essential to assess the biodiversity and the health of the ecosystem. A machine learning workflow has been developed, integrating a superpixel segmentation algorithm to build a robust dataset, which is followed by a set of DL architectures to classify 10 plant classes present in kettle holes. The best architecture for this task was Xception, which achieved an average F1‐score of 85% in the segmentation of the species. The application of solely 318 samples per class enabled a successful mapping in the complex wetland environment, indicating an important direction for future health assessments in such landscapes. [ABSTRACT FROM AUTHOR]

Published
2023
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14. Machine learning and SLIC for Tree Canopies segmentation in urban areas

Author

Correa Martins, José Augusto, primary, Menezes, Geazy, additional, Gonçalves, Wesley, additional, Sant’Ana, Diego André, additional, Osco, Lucas Prado, additional, Liesenberg, Veraldo, additional, Li, Jonathan, additional, Ma, Lingfei, additional, Oliveira, Paulo Tarso, additional, Astolfi, Gilberto, additional, Pistori, Hemerson, additional, and Junior, José Marcato, additional

Published
2021
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15. Fingerlings mass estimation: A comparison between deep and shallow learning algorithms

Author

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

Published
2021
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16. An Investigation of Parameter Optimization in Fingerling Counting Problems

Author

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

Published
2021
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17. Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning

Author

Martins, José Augusto Correa, primary, Nogueira, Keiller, additional, Osco, Lucas Prado, additional, Gomes, Felipe David Georges, additional, Furuya, Danielle Elis Garcia, additional, Gonçalves, Wesley Nunes, additional, Sant’Ana, Diego André, additional, Ramos, Ana Paula Marques, additional, Liesenberg, Veraldo, additional, dos Santos, Jefersson Alex, additional, de Oliveira, Paulo Tarso Sanches, additional, and Junior, José Marcato, additional

Published
2021
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19. Aquaculture and innovation based on interactive learning processes: Pacu Project in Terenos, MS.

Author

Brito Pache, Marcio Carneiro, Le Bourlegat, Cleonice Alexandre, Levy Espindola Dias, Jeff erson, Sant’Ana, Diego André, Pistori, Hemerson, and Naka, Marco Hiroshi

Subjects
INTERACTIVE learning, LEARNING, TECHNOLOGICAL innovations, TAMBAQUI, AQUACULTURE
Abstract

Copyright of Interações is the property of Revista Interacoes and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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20. A new image dataset for the evaluation of automatic fingerlings counting

Author

Garcia, Vanir, primary, Sant’Ana, Diego André, additional, Garcia Zanoni, Vanda Alice, additional, Brito Pache, Marcio Carneiro, additional, Naka, Marco Hiroshi, additional, França Albuquerque, Pedro Lucas, additional, Lewandowski, Tiago, additional, Silva Oliveira Junior, Adair Da, additional, Araújo Rozales, João Victor, additional, Ferreira, Milena Wolff, additional, de Queiroz, Eduardo Quirino Arguelho, additional, Marino Almanza, José Carlos, additional, and Pistori, Hemerson, additional

Published
2020
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21. A computer vision system for oocyte counting using images captured by smartphone

Author

Costa, Celso Soares, primary, Tetila, Everton Castelão, additional, Astolfi, Gilberto, additional, Sant’Ana, Diego André, additional, Brito Pache, Marcio Carneiro, additional, Gonçalves, Ariadne Barbosa, additional, Garcia Zanoni, Vanda Alice, additional, Picoli Nucci, Higor Henrique, additional, Diemer, Odair, additional, and Pistori, Hemerson, additional

Published
2019
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22. Accessibility and digital inclusion in Brazil and South Korea: A comparison between micro and macro territorial approach.

Author

Sant'Ana, Diego André, Pache, Marcio Carneiro Brito, Borges, Pedro Pereira, and Dias, Jefferson Levy Espindola

Subjects
DIGITAL inclusion, ECONOMIC expansion, SMART cities, QUALITY of service, INTERNET speed, TECHNOLOGY convergence
Abstract

This paper addresses the theme of accessibility and digital inclusion in Brazil, having as research territory the city of Campo Grande in Mato Grosso do Sul, which is compared to the city of Busan in South Korea. The research's objective is to investigate the main differences between the two countries, regarding investments in accessibility and digital inclusion in the respective cities, and its consequences for the society and economy. Using a descriptive–comparative methodology, the data surveyed were used to describe the quality of services offered in each city. As for the results, they converge to the fact that the benefits of technology and governance in tune with education and societal needs, improve competitiveness rankings of the country, besides promoting the improvement of social relations and economic growth. • Comparison between Brazil and South Korea. • Differences in competitiveness between Brazil and South Korea. • The challenges of development in Brazil and Campo Grande. • How Campo Grande can become a smart city. [ABSTRACT FROM AUTHOR]

Published
2021
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