Sara Antognelli

According to our database, Sara Antognelli authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Optimize the Estimation of Maize Height Using Sentinel-1: A Case Study in Umbria, Italy.

Iva Hrelja, Andrea Soccolini, Sara Antognelli, Francesco Santaga

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

2020

A Novel Cleaning Method for Yield Data Collected by Sensors: A Case Study on Winter Cereals.

Antonio Natale, Sara Antognelli, Emanuele Ranieri, Andrea Cruciani, Antonio Boggia

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Early prediction of winter cereals yield : A preliminary study based on machine learning technique as a strategic tool for fertilization and field management.

Josè Ramon Luque Reyes, Emanuele Ranieri, Sara Antognelli, Salima Taibi, Andrea Cruciani, Antonio Natale, Diego Guidotti

Proceedings of the 2020 Global Internet of Things Summit, 2020

2019

Water Management: Agricolus tools integration.

Diego Guidotti, Susanna Marchi, Sara Antognelli, Andrea Cruciani

Proceedings of the 2019 Global IoT Summit, 2019

2016

LISAM: an open source GIS-based model for liveability spatial assessment.

Sara Antognelli, Marco Vizzari

PeerJ Prepr., 2016

Potential Nitrogen Load from Crop-Livestock Systems: A Spatial Database for a Multi-Scale Assessment and Mapping.

Marco Vizzari, Sara Antognelli, Mariano Pauselli, Paolo Benincasa, Michela Farneselli, Luciano Morbidini, Piero Borghi, Giacomo Bodo, Alessandra Santucci

Int. J. Agric. Environ. Inf. Syst., 2016

2015

Potential Nitrogen Load from Crop-Livestock Systems: An Agri-environmental Spatial Database for a Multi-scale Assessment.

Marco Vizzari, Alessandra Santucci, Luca Casagrande, Mariano Pauselli, Paolo Benincasa, Michela Farneselli, Sara Antognelli, Luciano Morbidini, Piero Borghi, Giacomo Bodo

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping.

Marco Vizzari, Sara Antognelli, Mohamed Hilal, Maurizia Sigura, Daniel Joly

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015