E. Tetila

A computer vision system for soybean diseases recognition using UAVs : preliminary results

Bruno Brandoli Machado, H. Pistori, Gercina Gonçalves da Silva, 2017 .

Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks

Hemerson Pistori, Everton Castelão Tetila, Bruno Brandoli Machado, 2020, IEEE Geoscience and Remote Sensing Letters.

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CT

Marcio Carneiro Brito Pache, Everton Castelão Tetila, H. Pistori, 2020 .

Detection and classification of soybean pests using deep learning with UAV images

Hemerson Pistori, Everton Castelão Tetila, Bruno Brandoli Machado, 2020, Comput. Electron. Agric..

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests

Hemerson Pistori, Gilberto Astolfi, Everton Castelão Tetila, 2020, IEEE Geoscience and Remote Sensing Letters.

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs

Raul Queiroz Feitosa, Hemerson Pistori, Everton Castelão Tetila, 2019, Sensors.

A computer vision system for oocyte counting using images captured by smartphone

Ariadne Barbosa Gonçalves, Marcio Carneiro Brito Pache, Celso Soares Costa, 2019, Aquacultural Engineering.

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition

João Paulo Papa, Hemerson Pistori, Everton Castelão Tetila, 2019, Comput. Electron. Agric..

Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans

Everton Castelão Tetila, Willian Paraguassu Amorim, Gilberto Astolfi, 2021, BRACIS.

Classification of weed in soybean crops using unmanned aerial vehicle images

Hemerson Pistori, Everton Castelão Tetila, Gilberto Astolfi, 2019, Anais do Workshop de Visão Computacional (WVC).

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

Hemerson Pistori, Everton Castelão Tetila, Edson Takashi Matsubara, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.