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Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.

D. Martini, V. Liesenberg, E. Tetila, J. Junior, E. Matsubara, H. Siqueira, A. de Castro Junior, M. Araújo, C. Monteiro, and H. Pistori. IGARSS, page 9364-9367. IEEE, (2019)

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Everton Bedin

Everton Hermann

Ezequiel Luis Fernandez Castelao

Other publications of authors with the same name

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests.E. Tetila, B. Machado, G. Menezes, N. de Souza Belete, G. Astolfi, and H. Pistori. IEEE Geosci. Remote. Sens. Lett., 17 (10): 1837-1841 (2020)Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images.G. Astolfi, M. Pache, G. Menezes, A. da Silva Oliveira Junior, G. Menezes, V. de Moraes Weber, E. Tetila, N. de Souza Belete, E. Matsubara, and H. Pistori. IEEE Geosci. Remote. Sens. Lett., 18 (12): 2182-2186 (2021)Detection and classification of soybean pests using deep learning with UAV images.E. Tetila, B. Machado, G. Astolfi, N. de Souza Belete, W. Amorim, A. Roel, and H. Pistori. Comput. Electron. Agric., (2020)Associative classification model for forecasting stock market trends.E. Tetila, B. Machado, J. Jr., D. Zanoni, N. de Souza Belete, T. Zardo, M. Constantino, and H. Pistori. Int. J. Bus. Intell. Data Min., 19 (1): 97-112 (2021)Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans.F. da Silveira, E. Tetila, G. Astolfi, A. Costa, and W. Amorim. BRACIS (2), volume 13074 of Lecture Notes in Computer Science, page 265-279. Springer, (2021)Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks.E. Tetila, B. Machado, G. Menezes, A. da Silva Oliveira Junior, M. Alvarez, W. Amorim, N. de Souza Belete, G. da Silva, and H. Pistori. IEEE Geosci. Remote. Sens. Lett., 17 (5): 903-907 (2020)Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.D. Martini, V. Liesenberg, E. Tetila, J. Junior, E. Matsubara, H. Siqueira, A. de Castro Junior, M. Araújo, C. Monteiro, and H. Pistori. IGARSS, page 9364-9367. IEEE, (2019)An approach for applying natural language processing to image classification problems.G. Astolfi, D. Sant'Ana, J. de Andrade Porto, F. Rezende, E. Tetila, E. Matsubara, and H. Pistori. Neurocomputing, (2022)Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs.A. dos Santos, J. Junior, M. Araújo, D. Martini, E. Tetila, H. Siqueira, C. Aoki, A. Eltner, E. Matsubara, H. Pistori and 3 other author(s). Sensors, 19 (16): 3595 (2019)Semi-supervised learning with convolutional neural networks for UAV images automatic recognition.W. Amorim, E. Tetila, H. Pistori, and J. Papa. Comput. Electron. Agric., (2019)

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Disambiguation of "Tetila, Everton Castelão"

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Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.

Please choose a person to relate this publication to

Everton Bedin

Everton Hermann

Ezequiel Luis Fernandez Castelao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tetila, Everton Castelão"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.

Please choose a person to relate this publication to

Everton Bedin

Everton Hermann

Ezequiel Luis Fernandez Castelao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.