Author Page for Peterson Ricardo Fiorio

Different perspectives for the same target: Field and laboratory spectroscopy for the sustainable prediction of nitrogen content in sugarcane leaves

Number of pages: 37 Posted: 29 Dec 2025

Izabelle de Lima e. Lima, Marta Laura de Souza Alexandre, Rodnei Rizzo, Ana Karla da Silva Oliveira, Carlos Augusto Alves Cardoso Silva and Peterson Ricardo Fiorio

affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN

Downloads 44 (1,133,231)

Abstract:

2.

Prediction of the Nitrogen Content Using Machine Learning Techniques and Sugarcane (Saccharum Officinarum) Canopy Hyperspectral Data

Number of pages: 26 Posted: 11 Apr 2025

Izabelle de Lima e. Lima, Marta Laura de Souza Alexandre, Carlos Augusto Alves Cardoso Silva, Roberto Fray da Silva and Peterson Ricardo Fiorio

affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP) - "Luiz de Queiroz" College of Agriculture and affiliation not provided to SSRN

Downloads 42 (1,183,237)

Abstract:

3.

Higher agroforestry complexity, more ecosystem services: soil organic carbon storage, nutrient provision and water regulation in agroforestry systems in south-eastern Brazil

Number of pages: 32 Posted: 20 May 2026

Jonas Peter Steinfeld, Rodnei Rizzo, Maria Victoria Ramos Ballester, Peterson Ricardo Fiorio, Andrés Rico, Jorge L. Locatelli, Carlos Eduardo Pellegrino Cerri, Felix J.J.A. Bianchi and Rachel E. Creamer

Wageningen University & Research, University of São Paulo (USP), affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP), affiliation not provided to SSRN, University of São Paulo (USP), Wageningen University & Research and Wageningen University and Research (WUR)

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Peterson Ricardo Fiorio

affiliation not provided to SSRN

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Scholarly Papers (3)

Different perspectives for the same target: Field and laboratory spectroscopy for the sustainable prediction of nitrogen content in sugarcane leaves

Abstract:

Prediction of the Nitrogen Content Using Machine Learning Techniques and Sugarcane (Saccharum Officinarum) Canopy Hyperspectral Data

Abstract:

Higher agroforestry complexity, more ecosystem services: soil organic carbon storage, nutrient provision and water regulation in agroforestry systems in south-eastern Brazil

Abstract: