Marcos Bacis Ceddia

According to our database, Marcos Bacis Ceddia authored at least 8 papers between 2015 and 2024.

Collaborative distances:

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

2024

Remote and Proximal Sensors Data Fusion: Digital Twins in Irrigation Management Zoning.

Hugo Rodrigues, Marcos B. Ceddia, Wagner Tassinari, Gustavo M. Vasques, Ziany N. Brandão, João P. S. Morais, Ronaldo P. Oliveira, Matheus L. Neves, Sílvio R. L. Tavares

Sensors, September, 2024

2022

Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest.

Ana Carolina de S. Ferreira, Marcos B. Ceddia, Elias M. Costa, Érika F. M. Pinheiro, Mariana Melo do Nascimento, Gustavo M. Vasques

Remote. Sens., 2022

2018

Data Provenance in Agriculture.

Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau, Ricardo Mesquita, Ricardo Cerceau, Élton Carneiro Marinho, Eber Assis Schmitz, Elaine Sigette, Pedro Vieira Cruz

Proceedings of the Provenance and Annotation of Data and Processes, 2018

Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors.

Diego B. Haddad, Laura S. de Assis, Luís Tarrataca, Andrea da S. Gomes, Marcos Bacis Ceddia, Rosane F. Oliveira, Jurair R. de P. Junior, Diego N. Brandão

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Prediction of Soil Physical and Chemical Properties by Visible and Near-Infrared Diffuse Reflectance Spectroscopy in the Central Amazon.

Érika F. M. Pinheiro, Marcos B. Ceddia, Christopher M. Clingensmith, Sabine Grunwald, Gustavo M. Vasques

Remote. Sens., 2017

Soil Carbon Stock and Particle Size Fractions in the Central Amazon Predicted from Remotely Sensed Relief, Multispectral and Radar Data.

Marcos B. Ceddia, Andréa S. Gomes, Gustavo M. Vasques, Érika F. M. Pinheiro

Remote. Sens., 2017

A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil.

Tayana Moreira, Diego N. Brandão, Diego B. Haddad, Marcos B. Ceddia, E. F. M. Pinheiro, Rosane F. Oliveira

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast.

Giorgia R. N. Carvalho, Diego N. Brandão, Diego B. Haddad, Vinicius Leal do Forte, Marcos B. Ceddia

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015