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 (GEOINFO, 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)

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)

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)

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)

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)

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)