Everton Castelao Tetila

Orcid: 0000-0001-5396-766X

According to our database1, Everton Castelao Tetila authored at least 14 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle.
Comput. Electron. Agric., 2026

Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research.
Comput. Electron. Agric., 2026

Cattle Weight Estimation from Dense Point Clouds.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

2022
An approach for applying natural language processing to image classification problems.
Neurocomputing, 2022

2021
Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2021

Associative classification model for forecasting stock market trends.
Int. J. Bus. Intell. Data Min., 2021

Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests.
IEEE Geosci. Remote. Sens. Lett., 2020

Detection and classification of soybean pests using deep learning with UAV images.
Comput. Electron. Agric., 2020

2019
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs.
Sensors, 2019

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition.
Comput. Electron. Agric., 2019

Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017
Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images.
IEEE Geosci. Remote. Sens. Lett., 2017


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