José Paulo Molin

Orcid: 0000-0001-7250-3780

According to our database1, José Paulo Molin authored at least 12 papers between 2016 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches.
Sensors, 2021

Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester.
Sensors, 2021

Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy.
Sensors, 2021

Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique.
Remote. Sens., 2021

A system for plant detection using sensor fusion approach based on machine learning model.
Comput. Electron. Agric., 2021

Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches.
Comput. Electron. Agric., 2021

Detection, classification, and mapping of coffee fruits during harvest with computer vision.
Comput. Electron. Agric., 2021

2020
Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF.
Remote. Sens., 2020

Yield mapping methods for manually harvested crops.
Comput. Electron. Agric., 2020

2019
Simplifying Sample Preparation for Soil Fertility Analysis by X-ray Fluorescence Spectrometry.
Sensors, 2019

2017
A Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling.
Remote. Sens., 2017

2016
Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion.
Comput. Electron. Agric., 2016


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