Leonardo Felipe Maldaner

According to our database, Leonardo Felipe Maldaner authored at least 7 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2021

Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester.

Jeovano de Jesus Alves de Lima, Leonardo Felipe Maldaner, José Paulo Molin

Sensors, 2021

Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy.

Lucas de Paula Corrêdo, Leonardo Felipe Maldaner, Helizani Couto Bazame, José Paulo Molin

Sensors, 2021

Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique.

Tatiana Fernanda Canata, Marcelo Chan Fu Wei, Leonardo Felipe Maldaner, José Paulo Molin

Remote. Sens., 2021

A system for plant detection using sensor fusion approach based on machine learning model.

Leonardo Felipe Maldaner, José Paulo Molin, Tatiana Fernanda Canata, Maurício Martello

Comput. Electron. Agric., 2021

Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches.

Leonardo Felipe Maldaner, Lucas de Paula Corrêdo, Tatiana Fernanda Canata, José Paulo Molin

Comput. Electron. Agric., 2021

2019

Simplifying Sample Preparation for Soil Fertility Analysis by X-ray Fluorescence Spectrometry.

Tiago Rodrigues Tavares, Lidiane Cristina Nunes, Elton Eduardo Novais Alves, Eduardo de Almeida, Leonardo Felipe Maldaner, Francisco José Krug, Hudson Wallace Pereira de Carvalho, José Paulo Molin

Sensors, 2019

Performance analysis of a RADAR FMCW sensor developed for plant height measurement in agricultural and comparison with an NDVI sensor.

Pedro Henrique Santos, Leandro Maria Gimenez, Leonardo Felipe Maldaner, Cássio da Costa Duarte

Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019