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Peterson Fiorio

Has grant

Professor Doutor

University of Sao Paulo

Brazil

Research Interests

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Recent Grants

Grant: Close

Hyperspectral data use for prediction of leaf nitrogen content in sugarcane

Open Date: 2014-06-01

Close Date: 2016-05-31

Grant: Close

Influence on spectral response of a nitosol with cultivation of sugar cane submitted to different levels of vinasse application by subsurface drip

Open Date: 2010-12-01

Close Date: 2011-11-30

Articles (20)

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Collaborators (3)

Kaline Mello

Charles Darwin University

AUSTRALIA

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Murilo Mesquita Baesso

Professor Associado

University of Sao Paulo

BRAZIL

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Marcelo da Silva

Professor doutor

University of Sao Paulo

BRAZIL

View details

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Peterson Fiorio

Research Interests

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Recent Grants

Articles (20)

Potential of Laboratory VIS–NIR–SWIR Spectroscopy to Estimate Dry Matter, Crude Protein, and Neutral Detergent Fiber in Urochloa brizantha Tropical Pastures

Different Perspectives on the Same Target: Field and Laboratory Spectroscopy for Estimating Nitrogen Content in Sugarcane Leaves

Spectral Variability and Prediction of Nitrogen, Phosphorus, and Potassium in Fresh Sugarcane (Saccharum officinarum) Leaves by VIS–NIR–SWIR Spectroscopy

Cross-Domain Transferability of Foliar Nitrogen Prediction in Sugarcane (Saccharum officinarum) Through the Integration of UAV and Simulated Spectral Data

Towards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learning

Airborne multispectral sensing and machine learning for large-scale assessment of forage biomass and nutritive value in tropical pastures

Interspecies Prediction of Nitrogen Content in Processed Plant Samples Using Spectroscopic Modeling and Transfer Learning

Unmanned Aerial Vehicles and Low-Cost Sensors for Monitoring Biophysical Parameters of Sugarcane

Sugarcane (Saccharum officinarum) Productivity Estimation Using Multispectral Sensors in RPAs, Biometric Variables, and Vegetation Indices

Regional Model to Predict Sugarcane Yield Using Sentinel-2 Imagery in São Paulo State, Brazil

Discrimination potential of sugarcane cultivars (Saccharum spp) through hyperspectral sensors in different production environments

Potential of thermal imaging for yield and soil water content prediction in leafy vegetables

VIS-NIR-SWIR spectroscopy in sugarcane (Saccharum officinarum L.) cultivation for phytosanitary purposes

Analysis of land use change after the Brumadinho tragedy and its legal implications

Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy

Predictive modelling of chlorophyll in Mombaça grass leaves by hyperspectral reflectance data and machine learning

Spatio-Temporal Generalization of VIS-NIR-SWIR Spectral Models for Nitrogen Prediction in Sugarcane Leaves

Prediction of Corn Leaf Nitrogen Content in a Tropical Region Using Vis-NIR-SWIR Spectroscopy

Prediction of leaf nitrogen in sugarcane (Saccharum spp.) by Vis-NIR-SWIR spectroradiometry

Application of Vegetative Indices for Leaf Nitrogen Estimation in Sugarcane Using Hyperspectral Data

Collaborators (3)

Kaline Mello

Murilo Mesquita Baesso

Marcelo da Silva

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