Jayme G. A. Barbedo

According to our database, Jayme G. A. Barbedo authored at least 27 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Advancements in artificial pollination of crops: from manual to autonomous.

Leilei He, Xiaojuan Liu, Yusong Ding, Xudong Jing, Haojie Dang, Bryan Gilbert Murengami, Lamin L. Janneh, Rui Li, Spyros Fountas, Jayme Garcia Arnal Barbedo, Longsheng Fu

Comput. Electron. Agric., 2025

2024

Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications.

Danielle Elis Garcia Furuya, Édson Luis Bolfe, Taya Cristo Parreiras, Jayme Garcia Arnal Barbedo, Thiago Teixeira Santos, Luciano Gebler

Remote. Sens., 2024

2023

Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain.

Franco da Silveira, Jayme Garcia Arnal Barbedo, Sabrina Letícia Couto da Silva, Fernando Gonçalves Amaral

Comput. Electron. Agric., November, 2023

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture.

Jayme Garcia Arnal Barbedo

Comput. Electron. Agric., July, 2023

Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System.

Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva

Sensors, 2023

2022

Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps.

Jayme Garcia Arnal Barbedo

Sensors, 2022

2021

An Information Retrieval System Based on Multiple Portlets: Communication Between Its Components.

Glauber José Vaz, Jayme Garcia Arnal Barbedo

Int. J. Web Portals, 2021

2020

Counting Cattle in UAV Images - Dealing with Clustered Animals and Animal/Background Contrast Changes.

Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Patrícia Menezes Santos, Andrea Roberto Bueno Ribeiro

Sensors, 2020

2019

A Study on the Detection of Cattle in UAV Images Using Deep Learning.

Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Thiago Teixeira Santos, Patrícia Menezes Santos

Sensors, 2019

Detection of nutrition deficiencies in plants using proximal images and machine learning: A review.

Jayme Garcia Arnal Barbedo

Comput. Electron. Agric., 2019

2018

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification.

Jayme Garcia Arnal Barbedo

Comput. Electron. Agric., 2018

2014

3D Plant Modeling: Localization, Mapping and Segmentation for Plant Phenotyping Using a Single Hand-held Camera.

Thiago Teixeira Santos, Luciano Vieira Koenigkan, Jayme Garcia Arnal Barbedo, Gustavo Costa Rodrigues

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Survey on automatic transcription of music - Historical overview of techniques.

Tiago Fernandes Tavares, Jayme Garcia Arnal Barbedo, Romis Attux, Amauri Lopes

J. Braz. Comput. Soc., 2013

Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity.

Tiago Fernandes Tavares, Jayme Garcia Arnal Barbedo, Romis Attux, Amauri Lopes

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Method for Automatic Counting Root Nodules Using Digital Images.

Jayme Garcia Arnal Barbedo

Proceedings of the 12th International Conference on Computational Science and Its Applications, 2012

Counting Clustered Soybean Seeds.

Jayme Garcia Arnal Barbedo

Proceedings of the 12th International Conference on Computational Science and Its Applications, 2012

Method for Counting Microorganisms and Colonies in Microscopic Images.

Jayme Garcia Arnal Barbedo

Proceedings of the 12th International Conference on Computational Science and Its Applications, 2012

2011

Musical Instrument Classification Using Individual Partials.

Jayme G. A. Barbedo, George Tzanetakis

IEEE Trans. Speech Audio Process., 2011

Improving a Multiple Pitch Estimation Method With AR Models.

Tiago Fernandes Tavares, Jayme G. A. Barbedo, Amauri Lopes

Proceedings of the AES International Conference Semantic Audio 2011, 2011

2010

Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals.

Jayme Garcia Arnal Barbedo, George Tzanetakis

EURASIP J. Audio Speech Music. Process., 2010

Instrument identification in polyphonic music signals based on individual partials.

Jayme G. A. Barbedo, George Tzanetakis

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Empirical Methods to Determine the Number of Sources in Single-Channel Musical Signals.

Jayme Garcia Arnal Barbedo, Amauri Lopes, Patrick J. Wolfe

IEEE Trans. Speech Audio Process., 2009

2007

On the Vectorization of FIR Filterbanks.

Jayme Garcia Arnal Barbedo, Amauri Lopes

EURASIP J. Adv. Signal Process., 2007

Automatic Genre Classification of Musical Signals.

Jayme Garcia Arnal Barbedo, Amauri Lopes

EURASIP J. Adv. Signal Process., 2007

High Time-Resolution Estimation of Multiple Fundamental Frequencies.

Jayme Garcia Arnal Barbedo, Amauri Lopes, Patrick J. Wolfe

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

2005

Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment.

Moisés Vidal Ribeiro, Jayme Garcia Arnal Barbedo, João Marcos Travassos Romano, Amauri Lopes

EURASIP J. Adv. Signal Process., 2005

2002

Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment.

Jayme G. A. Barbedo, Moisés Vidal Ribeiro, Fernando José Von Zuben, Amauri Lopes, João Marcos Travassos Romano

Proceedings of the 11th European Signal Processing Conference, 2002