Francesco Nutini - IEEE Xplore Author Profile

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Author details

Francesco Nutini

Publications

10

Citations

49

Publications by Year

20112024

Co-Authors:

Anna BalenzanoMassimo BarbieriEtienne BartholoméDario BellingeriMirco Boschetti

Show All Co-Authors (66)

Francesco Nutini

Affiliation

National Research Council of Italy (CNR)

Institute for Electromagnetic Sensing of Environment (IREA)

Via A. Corti 12, Milan, Italy

Publication Topics

Leaf Area Index,
Earth Observation,
Machine Learning,
Traits In Crops,
Alfalfa,
Chlorophyll Content,
Crop Parameters,
Ground Data,
High-resolution,
Irrigation Management,
Kriging,
Learning Algorithms

Biography

Francesco Nutini received the M.S. degree in agro-environmental science and the Ph.D. degree plant biology and production, both from the faculty of Agronomy, University of Milan, Milan, Italy.,He is currently working with the Institute for Electromagnetic Sensing of Environment, National Research Council of Italy, Milan. His fields of expertise include precision agriculture, satellite time-series analysis, and land-use mapping.(Based on document published on 13 April 2017).

Publications

10

Citations

49

Publications by Year

20112024

Co-Authors:

Anna Balenzano
Massimo Barbieri
Etienne Bartholomé
Dario Bellingeri
Mirco Boschetti

Show All Co-Authors (66)

Author's Published Works

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Showing 1-10 of 10 results

Conferences (9)

Journals (1)

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Mirco Boschetti(10)
Francesco Nutini(10)
Daniela Stroppiana(3)
Alberto Crema(3)
Gabriele Candiani(3)
IREA, National Research Council, Milano, Italy(2)
National Research Council of Italy (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Bari & Milano, Italy(2)
Italian Space Agency (ASI), Rome, Italy(2)
Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece(1)
Institute of Methodologies for Environmental Analysis, Italian National Research Council (CNR-IMAA), Tito Scalo, Italy(1)
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2)
2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)(1)
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)(1)
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)(1)
2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)(1)
IEEE(10)
Milan, Italy(2)
Athens, Greece(1)
Helsinki, Finland(1)
Kuala Lumpur, Malaysia(1)
Pasadena, CA, USA(1)
Earth Observation(6)
Leaf Area Index(5)
Crop Conditions(3)
Machine Learning(3)
Rice Crop(3)

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Results

Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset

Gabriele Candiani;Francesco Nutini;Lorenzo Parigi;Monica Pepe;Mirco Boschetti

2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2024 | Conference Paper |

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In the coming years, new operational hyperspectral missions, like Copernicus-CHIME and NASA-SBG, will deliver unprecedented spectroscopic data to support sustainable agriculture and food security. In this framework, efficient plant traits retrieval methods need development and testing on real spaceborne data. A multi-year (2020–2023), PRISMA and ground data collection, has been created for algorit...Show More

Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset

Gabriele Candiani;Francesco Nutini;Lorenzo Parigi;Monica Pepe;Mirco Boschetti

2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2024 | Conference Paper |

Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis

Marina Ranghetti;Mirco Boschetti;Francesco Nutini;Micol Rossini;Gabriele Candiani

2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2023 | Conference Paper |

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The estimation of yield and grain protein content (GPC) is crucial for agricultural management and decision-making processes. Traditional methods of measuring yield and GPC have limitations for large-scale monitoring. In recent years, remote sensing and machine learning (ML) techniques have emerged as powerful tools for yield and GPC estimation. This work aims to explore the potential of hyperspec...Show More

Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis

Marina Ranghetti;Mirco Boschetti;Francesco Nutini;Micol Rossini;Gabriele Candiani

2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2023 | Conference Paper |

Earth Observation Retrieval and Classification Algorithms for Agriculture

Francesco Mattia;Anna Balenzano;Giuseppe Satalino;Francesco Lovergine;Davide Palmisano;Francesco Nutini;Mirco Boschetti;Giorgia Verza;Michele Rinaldi;Sergio Ruggieri;Angelo Pio De Santis;Francesco Ciavarella;Vanessa Paredes Gómez;David Alfonso Nafría García;Deodato Tapete

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

Cited by: Papers (3)

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The objective of this paper was to assess the use of multi-frequency SAR data for the mapping and monitoring of the spatial and temporal variability of land surface parameters and agricultural practices. In particular, the focus was on the retrieval of surface soil moisture (SSM) and vegetation water content (VWC) and on the classification and monitoring of irrigation extent and tillage practices ...Show More

Earth Observation Retrieval and Classification Algorithms for Agriculture

Francesco Mattia;Anna Balenzano;Giuseppe Satalino;Francesco Lovergine;Davide Palmisano;Francesco Nutini;Mirco Boschetti;Giorgia Verza;Michele Rinaldi;Sergio Ruggieri;Angelo Pio De Santis;Francesco Ciavarella;Vanessa Paredes Gómez;David Alfonso Nafría García;Deodato Tapete

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

Use of satellite-based phenometrics, geophysical soil data and a semi-distributed agro-hydrological model for variable-rate irrigation management in a maize farm in northern Italy

Alice Mayer;Bianca Ortuani;Margherita De Peppo;Francesco Nutini;Alberto Crema;Mirco Boschetti;Giorgio Ragaglini;Arianna Facchi

2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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In the most recent agricultural seasons water scarcity problems in many areas of the Po plain had become more frequent; thus, the introduction of irrigation-saving methods and technologies is becoming essential, especially in areas that cannot benefit from a large availability of surface water resources. In the context of precision irrigation, aimed at increasing water and energy productivity at t...Show More

Use of satellite-based phenometrics, geophysical soil data and a semi-distributed agro-hydrological model for variable-rate irrigation management in a maize farm in northern Italy

Alice Mayer;Bianca Ortuani;Margherita De Peppo;Francesco Nutini;Alberto Crema;Mirco Boschetti;Giorgio Ragaglini;Arianna Facchi

2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)

Year: 2022 | Conference Paper |

Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing

Ramin Heidarian Dehkordi;Francesco Nutini;Simone Mereu;Gabriele Candiani;Margherita De Peppo;Mirco Boschetti

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2022 | Conference Paper |

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In recent years, hyperspectral sensors, thanks to their very high spectral resolution, has attracted increasing attention for monitoring crop traits across the precision agricultural settings. In this paper, we evaluated the potential of hyperspectral spectroscopic indicators, by analyzing several properties of continuum-removed absorption features retrieved based on segmented upper hull and infle...Show More

Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing

Ramin Heidarian Dehkordi;Francesco Nutini;Simone Mereu;Gabriele Candiani;Margherita De Peppo;Mirco Boschetti

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Year: 2022 | Conference Paper |

Multi-Frequency Sar Data for Agriculture

Francesco Mattia;Anna Balenzano;Giuseppe Satalino;Francesco Lovergine;Annarita D'Addabbo;Davide Palmisano;Riccardo Grassi;Francesco Nutini;Mirco Boschetti;Georgia Verza;Michele Rinaldi;Sergio Ruggieri;Angelo Pio de Santis;Vanessa Paredes Gómez;David Alfonso Nafría García;Deodato Tapete

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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The study aims to consolidate and validate a suite of Earth Observation algorithms of interest for applications in agriculture. The algorithms are at different levels of maturity. Still, they share the objective of contributing to sustainable water management and food security. They deal with monitoring the soil moisture, the vegetation water content, the extent of irrigated areas and the changes ...Show More

Multi-Frequency Sar Data for Agriculture

Francesco Mattia;Anna Balenzano;Giuseppe Satalino;Francesco Lovergine;Annarita D'Addabbo;Davide Palmisano;Riccardo Grassi;Francesco Nutini;Mirco Boschetti;Georgia Verza;Michele Rinaldi;Sergio Ruggieri;Angelo Pio de Santis;Vanessa Paredes Gómez;David Alfonso Nafría García;Deodato Tapete

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Year: 2022 | Conference Paper |

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

Lorenzo Busetto;Sven Casteleyn;Carlos Granell;Monica Pepe;Massimo Barbieri;Manuel Campos-Taberner;Raffaele Casa;Francesco Collivignarelli;Roberto Confalonieri;Alberto Crema;Francisco Javier García-Haro;Luca Gatti;Ioannis Z. Gitas;Alberto González-Pérez;Gonçal Grau-Muedra;Tommaso Guarneri;Francesco Holecz;Dimitrios Katsantonis;Chara Minakou;Ignacio Miralles;Ermes Movedi;Francesco Nutini;Valentina Pagani;Angelo Palombo;Francesco Di Paola;Simone Pascucci;Stefano Pignatti;Anna Rampini;Luigi Ranghetti;Elisabetta Ricciardelli;Filomena Romano;Dimitris G. Stavrakoudis;Daniela Stroppiana;Mariassunta Viggiano;Mirco Boschetti

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2017 | Volume: 10, Issue: 12 | Journal Article |

Cited by: Papers (38)

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The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice monitoring. The first is aimed at providing information concerning the behavior of the current season at regional/rice district scale, while the second is dedicated to provide fa...Show More

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

Lorenzo Busetto;Sven Casteleyn;Carlos Granell;Monica Pepe;Massimo Barbieri;Manuel Campos-Taberner;Raffaele Casa;Francesco Collivignarelli;Roberto Confalonieri;Alberto Crema;Francisco Javier García-Haro;Luca Gatti;Ioannis Z. Gitas;Alberto González-Pérez;Gonçal Grau-Muedra;Tommaso Guarneri;Francesco Holecz;Dimitrios Katsantonis;Chara Minakou;Ignacio Miralles;Ermes Movedi;Francesco Nutini;Valentina Pagani;Angelo Palombo;Francesco Di Paola;Simone Pascucci;Stefano Pignatti;Anna Rampini;Luigi Ranghetti;Elisabetta Ricciardelli;Filomena Romano;Dimitris G. Stavrakoudis;Daniela Stroppiana;Mariassunta Viggiano;Mirco Boschetti

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2017 | Volume: 10, Issue: 12 | Journal Article |

Evaporative fraction from time series of MODIS data to monitor crop status in Northern Italy

Francesco Nutini;Daniela Stroppiana;Dario Bellingeri;Mirco Boschetti;Enrico Zini;Pietro Alessandro Brivio

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Year: 2015 | Conference Paper |

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Crop monitoring services require the capability to investigate vegetation condition, especially in regions periodically affected by low or erratic rainfalls as recently happened in northern Italy. This paper define an operational methodology based on the “triangle method” to estimate Evaporative Fraction as an indicator of surface moisture condition. The approach, that relies on low resolution MOD...Show More

Evaporative fraction from time series of MODIS data to monitor crop status in Northern Italy

Francesco Nutini;Daniela Stroppiana;Dario Bellingeri;Mirco Boschetti;Enrico Zini;Pietro Alessandro Brivio

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Year: 2015 | Conference Paper |

Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation

Mirco Boschetti;Lorenzo Busetto;Francesco Nutini;Giacinto Manfron;Alberto Crema;Roberto Confalonieri;Simone Bregaglio;Valentina Pagani;Tommaso Guarneri;Pietro Alessandro Brivio

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Year: 2015 | Conference Paper |

Cited by: Papers (2)

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The agricultural sector is facing important global challenges due to the pressure of food demand, increased price-competition produced by market globalization and food price volatility (G20 Agriculture Action Plan), and the necessity of more environmentally and economically sustainable farming. Earth Observation (EO) systems can significantly contribute to these topics by providing reliable real t...Show More

Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation

Mirco Boschetti;Lorenzo Busetto;Francesco Nutini;Giacinto Manfron;Alberto Crema;Roberto Confalonieri;Simone Bregaglio;Valentina Pagani;Tommaso Guarneri;Pietro Alessandro Brivio

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Year: 2015 | Conference Paper |

Analysis of earth observation time series to investigate the relation between rainfall, vegetation dynamic and streamflow in the Uele' basin (Central African Republic)

Daniela Stroppiana;Mirco Boschetti;Pietro A. Brivio;Francesco Nutini;Etienne Bartholomé

2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)

Year: 2011 | Conference Paper |

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The hydrology of tropical forests play a key role in watershed processes such as soil erosion, streamflow and ground water recharge. However, tropical forests of Africa are least investigated due to the poor network for data acquisition. Earth Observations can fill this gap by providing consistent time series of data. We analyzed trends of rainfall, vegetation index and river water levels derived ...Show More

Analysis of earth observation time series to investigate the relation between rainfall, vegetation dynamic and streamflow in the Uele' basin (Central African Republic)

Daniela Stroppiana;Mirco Boschetti;Pietro A. Brivio;Francesco Nutini;Etienne Bartholomé

2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)

Year: 2011 | Conference Paper |

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